Computer Aided algorithm

Developing Computer Aided Algorithm for the Diagnosis in Histopathological Images to Classify Benign vs Malignant Using Deep Learning Approach

The main objective of this project was to design a computer-aided diagnosis system to develop a deep learning algorithm for diagnosis in histological patches to classify benign vs malignant patches. System architecture used - Image → Normalization → Per instance standardization → Aggressive Data Augmentation → Classification.

Developing Computer Aided Algorithm for the Diagnosis in Dermoscopic Images to Classify Melanoma vs All Other Types Using Deep Learning Approach

The main goal of this project was to design a computer-aided diagnosis system to classify dermoscopic images and determine whether any case belongs to Nevus or lesion. System architecture - Image → Normalization → Per instance standardization → Aggressive Data Augmentation → Classification.