Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
IEEE

Approach to multiclass classification of the SRBCT dataset by using KNN Classification

Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...
Game Rant

MMOs With The Best Multiclassing Options

Kristy Ambrose has been writing professionally since 2010. She dabbles in various genres, but her favorites are fantasy and science fiction. She creates everything from fanfiction to serialized novels ...
GitHub

hmzi67/multiclass-classification-of-distinct-cancer-types

This project implements a complete end-to-end pipeline for analyzing RNA-Seq gene expression data to classify different cancer types. Using the PANCAN dataset from UCI Machine Learning Repository, we ...
PNAS

Fragmentation signatures in cancer patients resemble those of patients with vascular or autoimmune diseases

The knowledge that abnormal cell-free DNA (cfDNA) fragmentation patterns are found in patients without cancer will guide the development of more effective molecular diagnostics and encourage more ...