Breast cancer is the most prevalent cancer that affects women all over the world. Early
detection and treatment of breast cancer could decline the mortality rate. Some issues such …

Mitosis detection is one of the critical factors of cancer prognosis, carrying significant
diagnostic information required for breast cancer grading. It provides vital clues to estimate …

We present an efficient deep learning framework for identifying, segmenting, and classifying
cell membranes and nuclei from human epidermal growth factor receptor-2 (HER2)-stained …

Cytological evaluation by microscopic image-based characterization [imprint cytology (IC)
and fine needle aspiration cytology (FNAC)] plays an integral role in primary …

Being a non-histone protein, Ki-67 is one of the essential biomarkers for the
immunohistochemical assessment of proliferation rate in breast cancer screening and …

Objective Breast cancer is a significant health issue for women, and human epidermal
growth factor receptor-2 (HER2) plays a crucial role as a vital prognostic and predictive …

Анотація Image analysis is one of most powerful tools in various research fields. In the
same context, processing of microscopic images in medicine has high priority research area …

Purpose: The aim of this study was to determine the possibility of using wavelet analysis for
processing images of cytology preparations. Material and Methods: A set of different images …

Simple Summary Breast cancer is one of the most commonly diagnosed diseases in females
around the world. The most threatening is when cancer spreads uncontrollably to other parts …

This paper focuses on the analysis and processing of blood microscopic images because of
its importance to do a comprehensive analysis and diagnosis of human health. Due to the …