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cs.CV2026

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi +5

Women's health remains substantially under-resourced in medical imaging research, with pelvic pathologies such as polycystic ovary syndrome (PCOS) and pelvic fracture both sufferin…

cs.CV2026

SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi +4

Deep learning models for medical image analysis typically apply a fixed amount of computation to every input, regardless of case difficulty. Anatomy-guided dual-stream architecture…

cs.CV2026

A Scoping Review of Deep Learning for Urban Visual Pollution and Proposal of a Real-Time Monitoring Framework with a Visual Pollution Index

Mohammad Masudur Rahman, Md. Rashedur Rahman, Ashraful Islam +2

Urban Visual Pollution (UVP) has emerged as a critical concern, yet research on automatic detection and application remains fragmented. This scoping review maps the existing deep l…

cs.CV2026

Route, Retrieve, Reflect, Repair: Self-Improving Agentic Framework for Visual Detection and Linguistic Reasoning in Medical Imaging

Md. Faiyaz Abdullah Sayeedi, Rashedur Rahman, Siam Tahsin Bhuiyan +4

Medical image analysis increasingly relies on large vision-language models (VLMs), yet most systems remain single-pass black boxes that offer limited control over reasoning, safety…

cs.CV2025

Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi +4

Pelvic fractures pose significant diagnostic challenges, particularly in cases where fracture signs are subtle or invisible on standard radiographs. To address this, we introduce P…