Breast cancer remains a highly prevalent disease with considerable inter-and intra-tumoral
heterogeneity complicating prognostication and treatment decisions. The utilization and …

Editorial begins: Over recent years, deep learning (DL) has established itself as a powerful
tool across a broad spectrum of domains in imaging—eg, classification, prediction …

The process of image segmentation is partitioning an image into its constituent parts and is a
significant approach for extracting interesting features from images. Over a couple of …

Simple Summary The word “model” can be used with different meanings and different
contexts, like a model student, clay models or a model railway. In some cases, the context …

Residual tumor cellularity (RTC) is assessed routinely after neoadjuvant therapy (NAT) for
Breast Cancer (BC) patients to determine the effectiveness of therapy and plan the …

Early detection of breast cancer is a very challenging task and difficulty faced by pathologists
and researchers. High-quality breast images are needed for early detection of breast cancer …