3 papers
cs.CV2020
HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification
R. M. Saad Bashir, Talha Qaiser, Shan E Ahmed Raza +1
Semi-supervised techniques have removed the barriers of large scale labelled set by exploiting unlabelled data to improve the performance of a model. In this paper, we propose a se…
cs.CV2018
Deconvolving convolution neural network for cell detection
Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani +4
Automatic cell detection in histology images is a challenging task due to varying size, shape and features of cells and stain variations across a large cohort. Conventional deep le…
cs.CV2018
Micro-Net: A unified model for segmentation of various objects in microscopy images
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban +5
Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convolution neural network (CNN) based…