Ушбу ишга иқтибос қилган ишлар

4 та иш

Иш: ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

1. Dynamic Focus on Tumor Boundaries: A Lightweight U-Net for MRI Brain Tumor Segmentation

   Kuldashboy Avazov, Sanjar Mirzakhalilov, Sabina Umirzakova +2

   МақолаBrain Tumor Detection and ClassificationBioengineering20245 иқтибос

   ABIABI:AkademIndex/openalex/2024.article.000160

2. CT-HiffNet: A contour-texture hierarchical feature fusion network for cropland field parcel extraction from high-resolution remote sensing images

   Hao Wu, Junyang Xie, Weihao Deng +10

   МақолаRemote Sensing in AgricultureComputers and Electronics in Agriculture20251 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000223

3. 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

   МақолаColorectal Cancer Screening and DetectionDiagnostics20251 иқтибос

   ABIABI:AkademIndex/openalex/2026.other.327022

4. Ct-Hiffnet: A Contour-Texture Hierarchical Feature Fusion Network for Cropland Field Parcel Extraction from High-Resolution Remote Sensing Images

   Hao Wu, Junyang Xie, Weihao Deng +9

   ПрепринтRemote Sensing in AgricultureSSRN Electronic Journal20240 иқтибос

   ABIABI:AkademIndex/openalex/2024.preprint.000241