Работы, цитирующие эту работу

Работ: 3

Работа: HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

1. An Integrated Architecture for Colorectal Polyp Segmentation: The µ-Net Framework with Explainable AI

   Md Mehedi Hasan Emon, Proloy Kumar Mondal, Md Ariful Islam Mozumder +4

   СтатьяColorectal Cancer Screening and DetectionDiagnostics2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.327022

2. Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small

   Temurbek Kuchkorov, N. Q. Sabitova, Temur Ochilov

   ГлаваGastrointestinal Bleeding Diagnosis and TreatmentLecture notes in computer science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000177

3. Gastro-intestinal disease detection and classification using Taylor spotted hyena optimization algorithm enabled deep maxout networks

   M.S Hema, V. Ceronmani Sharmila, V Pandimurugan +2

   СтатьяArtificial Intelligence in HealthcareBiomedical Signal Processing and Control2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.001165