Breast Cancer Classification using KD-DCNN: A computationally efficient approach

A research on cancer classifier based on ResNet and DenseNet

Problem Statement

Automated categorisation methods help medical staff in prompt diagnosis. Deep convolutional neural networks, coupled with knowledge distillation make these techniques highly accurate and effective. This paper is submitted for publication under the guidance of Dr. N. Jayanthi and currently under review.

Technology used

Python, ResNet, DenseNet

Research paper link

NA