Exploring a global interpretation mechanism for deep learning

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts - The Lancet

Techniques for Interpretable Machine Learning, January 2020

Transparency of deep neural networks for medical image analysis: A review of interpretability methods - ScienceDirect

Computers, Free Full-Text

An Adaptable Model for Medical Image Classification Using the Streamlined Attention Mechanism

A Brief History of Machine Learning - DATAVERSITY

How Does Generative AI Work?: A Deep Dive into Generative AI Models

When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry

What Is Transfer Learning? A Guide for Deep Learning

Identifying Factors to Explain the Behavior of Deep Learning Systems - Johns Hopkins Institute for Assured Autonomy