Pinned Repositories
Deep-learning-vs.-Superpixel-classification-for-breast-masses-segmentation
In this work, a comparative study of different segmentation techniques is carried out on INBREAST database, between, deep learning approach with the Convolutional Neural Networks and traditional machine learning techniques by the superpixel-based segmentation.
ChromosomeSiameseAD
Chromosome Siamese Abnormality Detector - Detection of structural chromosomal abnormalities using Siamese architecture
Yolo-digit-detector
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
MEABECHAR's Repositories
MEABECHAR/ChromosomeSiameseAD
Chromosome Siamese Abnormality Detector - Detection of structural chromosomal abnormalities using Siamese architecture
MEABECHAR/Yolo-digit-detector
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
MEABECHAR/Deep-learning-vs.-Superpixel-classification-for-breast-masses-segmentation
In this work, a comparative study of different segmentation techniques is carried out on INBREAST database, between, deep learning approach with the Convolutional Neural Networks and traditional machine learning techniques by the superpixel-based segmentation.