INTRODUCTION
BDG LifeSciences is a distinguished bioinformatics company established in 2010 and operates globally. Headquartered in India the company specializes in facilitating workshops, training programs, novel & innovative research projects, and online courses in technologies of bioinformatics & life science. The company is registered under the Ministry of MSME (Micro, Small, and Medium Enterprises), Government of India, with the registration number UDYAM-UP-01-0019151. Recently, BDG Lifesciences, India has authorized BBR Group Pty Ltd., Australia (ACN 608 550 849), to operate its programs in Australia & New Zealand. With a focus on practical application of technology, where participants work on their own computer/laptop on software/servers, BDG LifeSciences has been a leader in the sector for the last 14 years.
Since its inception, BDG LifeSciences has successfully educated a diverse range of participants globally, including students, scientists, faculty members, professors, and corporate executives.
Innovation & Creativity is the core part of BDG Lifesciences and as per the increasing demand advancing in the technology we have launched a 5-day Online Technical Training in Artificial Intelligence based Medical Imaging. It will be an extensive 5-day training program in which every day 120 minutes interactive training sessions will be conducted to give the user a unique learning experience.
VIDEO RECORDING WILL BE PROVIDED. On successful completion of the course participation certificate will be awarded.
This 5-day Technical Hands-on Training program focuses on applying artificial intelligence (AI) to medical imaging. Participants will explore deep learning techniques to analyze medical images, detect anomalies, and enhance diagnostic accuracy. Practical sessions will cover key tools, algorithms, and their real-world applications in healthcare.
Overview
TOPICS/MODULES COVERED IN THIS TRAINING: The training program dives into the integration of AI in medical imaging, encompassing preprocessing, deep learning model development, segmentation, classification, anomaly detection, and deployment in clinical settings. Participants will gain expertise in tools like TensorFlow, PyTorch, and MONAI, along with hands-on experience in handling datasets such as DICOM, CT, MRI, and X-ray images
TOPICS
Introduction to Medical Imaging and AI
- Overview of medical imaging modalities (MRI, CT, X-ray, Ultrasound).
- Fundamentals of AI and machine learning in healthcare.
- Ethical considerations and regulatory compliance in medical imaging AI.
Image Preprocessing and Augmentation
- Data cleaning and preprocessing techniques for medical images.
- Image normalization, resizing, and noise reduction.
- Data augmentation strategies for improving model performance.
Deep Learning for Medical Image Analysis
- Introduction to convolutional neural networks (CNNs) for image processing.
- Architectures: ResNet, VGG, U-Net, and their applications.
- Transfer learning techniques for limited medical datasets.
Segmentation, Classification, and Anomaly Detection
- Image segmentation for organ/tumor identification.
- Classification techniques for disease diagnosis (e.g., cancer detection).
- Anomaly detection using unsupervised and semi-supervised learning.
Advanced Applications and Interpretability
- Explainable AI in medical imaging: Understanding model decisions.
- Multi-modal medical data integration for improved diagnostics.
- Deployment of AI models in clinical practice and real-world case studies.
Practical Application[Software & Servers which will be used]
- Python Ecosystem for AI Development:
- TensorFlow: For building and training deep learning models.
- PyTorch: For custom implementations of CNN architectures.
- Keras: Simplified deep learning model development.
- Medical Imaging Tools and Libraries:
- SimpleITK: For medical image processing and analysis.
- NiBabel: For handling neuroimaging data formats (NIfTI, ANALYZE).
- pydicom: For processing and visualizing DICOM images.
- Data Augmentation and Visualization:
- OpenCV: For image augmentation and transformation.
- Matplotlib/Seaborn: For data and result visualization.
- Cloud Platforms & GPU Acceleration:
- Google Colab: For running models with free GPU resources.
- Kaggle Notebooks: For hands-on practice with medical datasets.
- Specialized Tools:
- ITK-SNAP: For image segmentation and annotation.
- Fiji (ImageJ): For image visualization and manual preprocessing tasks.
- MONAI (Medical Open Network for AI): For developing and evaluating AI models specifically for medical imaging.
- Datasets & Online Servers:
- Kaggle Medical Imaging Datasets: Chest X-ray, brain MRI, etc.
- The Cancer Imaging Archive (TCIA): For diverse medical image datasets.
- OHIF Viewer: For DICOM image visualization.
Learning Outcome
By the end of the workshop, participants will:
- Understand AI in Medical Imaging:
- Grasp the fundamentals of AI and its applications in medical imaging.
- Learn about different imaging modalities and how AI enhances diagnostics.
- Preprocess Medical Imaging Data:
- Master preprocessing techniques like normalization, resizing, and denoising.
- Utilize data augmentation to improve model robustness.
- Develop Deep Learning Models:
- Build and train convolutional neural networks (CNNs) for medical image analysis.
- Apply architectures like U-Net, ResNet, and others for segmentation and classification.
- Implement AI for Specific Tasks:
- Perform image segmentation to identify organs or abnormalities.
- Classify medical conditions and detect anomalies using AI.
- Work with Specialized Tools:
- Gain hands-on experience with tools like TensorFlow, PyTorch, SimpleITK, and MONAI.
- Utilize platforms like Google Colab for practical implementation with GPUs.
- Interpret AI Models:
- Understand explainable AI techniques to interpret model outputs.
- Evaluate model performance using metrics specific to medical imaging.
- Integrate AI into Clinical Workflows:
- Explore strategies for deploying AI models in real-world healthcare settings.
- Analyze case studies demonstrating AI's impact on diagnostics.
- Apply Ethical and Regulatory Insights:
- Recognize ethical considerations in medical imaging AI.
- Understand the importance of regulatory compliance in clinical applications.
This workshop equips participants with the skills to leverage AI in medical imaging for research, diagnostics, and healthcare innovations.
Target Audience
- Researchers in healthcare and bioinformatics
- Students in medical imaging, AI, or bioinformatics fields
- Professionals in healthcare, radiology, and diagnostics
- Data scientists and machine learning enthusiasts
Methodology
The workshop features a mix of theoretical lectures and practical sessions using real-world datasets. Tools like Google Colab, MONAI, and medical imaging libraries ensure participants gain hands-on experience in developing AI solutions for healthcare applications.
- Learn cutting-edge techniques for medical imaging analysis with AI.
- Gain practical experience with state-of-the-art tools and libraries.
- Enhance your skills to address real-world healthcare challenges using AI.
- Interact with experts and peers to build a robust understanding of AI applications in healthcare.
Why Choose BDG LifeSciences for this Training?
- Expert-Led Training: Conducted by industry experts in AI and medical imaging.
- Comprehensive Curriculum: Covers all aspects of AI in medical imaging, from basics to advanced techniques.
- Hands-On Experience: Practical sessions using the latest tools and datasets.
- Real-World Applications: Insights into deploying AI models in clinical practice.
- Accessible Learning: Online format with detailed guidance and Q&A sessions.
How To Register
To secure your spot:
- Click on Register Now button and proceed.
- After registering, please email to info@bdglifesciences.com with your preferred start date and choose one of the following time slots: 6:30 AM–8:30 AM India time or 8:30 PM–10:30 PM India time.
- Kindly note that the time of the sessions will be 90-120 minutes every day.
- Once you register, please allow us 2-5 working days to make your training schedule, i.e. dates and time.
- For any further queries, feel free to email us at info@bdglifesciences.com
Previous Events & Testimonials
Gain insight into our past trainings:
- Video Feedback: Visit our YouTube channel for testimonials.
- Upcoming Training Programs: Explore other upcoming events here.
- Upcoming Online Workshops: Explore other upcoming events here.
To get regular updates on Upcoming Job opportunities, Research Projects, Courses, Training and Trainings, kindly join our WhatsApp Channel / Telegram
T & C
- Please provide a GMAIL ID for registration as the recorded video session will be provided on YouTube. Kindly provide that email ID by which you use YouTube.
- Since the training is a one-on-one live session with a trainer on Zoom, you'll need to attend, allowing for practical hands-on learning, real-time explanations, and direct query resolution for a better learning experience.
- At the end of each session, you will receive a video recording, allowing you to review the steps as many times as needed to enhance your learning and master the topics and tasks.
- BDG Lifesceiences (OPC) Private Limited is registered under Ministry of MSME(Micro, Small and Medium Enterprises), Government of India with Registration Number:UDYAM-UP-01-0019151 hence the certificate will be provided of it. BBR Group Pty Ltd, Australia (ACN-Australian Company Number-608 550 849) has the franchisee of BDG Lifesciences to run its programs in Australia & New Zealand.
- The certificate will be issued as per the details which you will provide in the registration form while registering before payment.
- We want to make sure that you learn properly hence the training certificate will be given ONLY on successful completion of all the tasks given by the trainer.
- The certificates of all our Online programs are sent by email (softcopy) which has a unique barcode. You can take a print of that on heavy cardstock or photo paper and get it laminated if required.
- The registration is NON-REFUNDABLE and NON-TRANSFERABLE.
- BDG Lifesciences (OPC) Pvt. Ltd., India and BBR Group Pty Ltd Australia reserve the right of admission in all our programs.
- If you are removed or your registration is canceled then there will be no answer to that. We have our own reasons for such an act of ours. If we do not wish to give this training to any participant then we will refund their amount.
- You should also read the Terms & Conditions page as well as the FAQs page. For any assistance kindly chat with our AI Assistant BioBot on the website www.bdglifesciences.com
