49 citations · 61 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 12 cited
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
Muhammad Shahzad, Arif Iqbal Umar, Syed Hamad Shirazi +1
Pixel-level analysis of blood images plays a pivotal role in diagnosing blood-related diseases, especially Anaemia. These analyses mainly rely on an accurate diagnosis of morpholog…
eess.IV2020★ 49 cited
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
Muhammad Shahzad, Arif Iqbal Umar, Muazzam A. Khan +3
Previous works on segmentation of SEM (scanning electron microscope) blood cell image ignore the semantic segmentation approach of whole-slide blood cell segmentation. In the propo…