paperarXivTrust 82 · PrimaryPublished 5d agoLive · 3d ago

Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification

Ovarian lesion classification using transvaginal ultrasound remains challenging due to overlapping imaging characteristics and the dependence on expert interpretation. This study investigates whether lesion-guided region-of-interest (ROI) deep learning can achieve competitive diagnostic performance while reducing the annotation burden associated with pixel-level lesion segmentation. Two publicly available ovarian ultrasound datasets were evaluated: the Multi-Modality Ovarian Tumor Ultrasound (MMOTU) dataset for eight-class classification and the Ovarian Ultrasound Dataset (OUD) for binary clas

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 53%Breast cancer detection and classification via a robust deep learning approach - Nature →
PossiblePossibly related (embedding) · 52%Dual-phase deep learning models improve pancreatic cyst risk assessment - News-Medical →
PossiblePossibly related (embedding) · 49%Deep Learning-Based Oral Cancer Detection Using Clinical Images - Cureus →
LinkedLinked via arxiv author · 85%Mehran Ahmad →
“Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification”
LinkedLinked via arxiv author · 85%Ali Abbasian Ardakani →
“Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification”
LinkedLinked via arxiv author · 85%Afshin Mohammadi →
“Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification”
LinkedLinked via arxiv author · 85%Alisa Mohebbi →
“Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification”
LinkedLinked via arxiv author · 85%Gernot Kronreif →
“Less Contouring, More Accuracy: Lesion-Guided ROI Deep Learning for Ovarian Ultrasound Classification”

Covers

newsBreast cancer detection and classification via a robust deep learning approach - Nature newsDual-phase deep learning models improve pancreatic cyst risk assessment - News-Medical newsDeep Learning-Based Oral Cancer Detection Using Clinical Images - Cureus

authored (incoming)

personMehran Ahmad personAli Abbasian Ardakani personAfshin Mohammadi personAlisa Mohebbi personGernot Kronreif personSepideh Hatamikia

Implements (incoming)

repoaymericdamien/TopDeepLearning repokmario23/deep-learning-drizzle

Related across the graph

newsDeep Learning-Based Oral Cancer Detection Using Clinical Images - Cureus personSepideh Hatamikia personAlisa Mohebbi repokmario23/deep-learning-drizzle newsDual-phase deep learning models improve pancreatic cyst risk assessment - News-Medical newsBreast cancer detection and classification via a robust deep learning approach - Nature personAfshin Mohammadi personMehran Ahmad personGernot Kronreif personAli Abbasian Ardakani repoaymericdamien/TopDeepLearning

Topics

cs.CV