[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames
Brain tumors are one of the most fatal cancers. Magnetic Resonance Imaging (MRI) is a non-
invasive method that provides multi-modal images containing important information …
invasive method that provides multi-modal images containing important information …
A Comprehensive Review of Computer-Aided Models for Breast Cancer Diagnosis Using Histopathology Images
A Labrada, BD Barkana - Bioengineering, 2023 - mdpi.com
Breast cancer is the second most common cancer in women who are mainly middle-aged
and older. The American Cancer Society reported that the average risk of develo** breast …
and older. The American Cancer Society reported that the average risk of develo** breast …
i6mA-Caps: A CapsuleNet-based framework for identifying DNA N6-methyladenine sites
Abstract Motivation DNA N6-methyladenine (6mA) has been demonstrated to have an
essential function in epigenetic modification in eukaryotic species in recent research. 6mA …
essential function in epigenetic modification in eukaryotic species in recent research. 6mA …
Attention-based graph neural network for molecular solubility prediction
Drug discovery (DD) research is aimed at the discovery of new medications. Solubility is an
important physicochemical property in drug development. Active pharmaceutical ingredients …
important physicochemical property in drug development. Active pharmaceutical ingredients …
DL-m6A: Identification of N6-methyladenosine Sites in Mammals using deep learning based on different encoding schemes
N6-methyladenosine (m6A) is a common post-transcriptional alteration that plays a critical
function in a variety of biological processes. Although experimental approaches for …
function in a variety of biological processes. Although experimental approaches for …
[HTML][HTML] SMDetector: Small mitotic detector in histopathology images using faster R-CNN with dilated convolutions in backbone model
Breast cancer is one of the most common cancer types among women, and it is a deadly
disease caused by the uncontrolled proliferation of cells. Pathologists face a challenging …
disease caused by the uncontrolled proliferation of cells. Pathologists face a challenging …
AI-based pipeline for classifying pediatric medulloblastoma using histopathological and textural images
Pediatric medulloblastomas (MBs) are the most common type of malignant brain tumors in
children. They are among the most aggressive types of tumors due to their potential for …
children. They are among the most aggressive types of tumors due to their potential for …
CSatDTA: prediction of drug–target binding affinity using convolution model with self-attention
Drug discovery, which aids to identify potential novel treatments, entails a broad range of
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
fields of science, including chemistry, pharmacology, and biology. In the early stages of drug …
An explainable supervised machine learning model for predicting respiratory toxicity of chemicals using optimal molecular descriptors
Respiratory toxicity is a serious public health concern caused by the adverse effects of drugs
or chemicals, so the pharmaceutical and chemical industries demand reliable and precise …
or chemicals, so the pharmaceutical and chemical industries demand reliable and precise …