Data Scarcity, Explainability and Explainable AI

Deep Learning for Medical Image Analysis: Current Trends and Future Directions

Heartbeat

NOVEMBER 27, 2023

Fine-tuning, a process where pre-trained models are further trained on task-specific data, allows the model to adapt and refine its representations to the specific medical imaging domain. Interpretability and Explainability One challenge with deep learning models in medical image analysis is their black-box nature.

Deep Learning

Deep Learning Convolutional Neural Networks Neural Network Explainability

Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

DECEMBER 6, 2023

Synthetic data generation to help overcome data scarcity and privacy problems in computer vision. Future Directions Explainable AI: Explainable AI (XAI) is one research paradigm that can help you detect biases easily. Read our article about ethical challenges at OpenAI.

Computer Vision

Computer Vision Convolutional Neural Networks Neural Network Categorization

Artificial Intelligence Zone

Deep Learning for Medical Image Analysis: Current Trends and Future Directions

Computer Vision Tasks (Comprehensive 2024 Guide)

Webinars

Stay Connected