output
19992025
most citedA systematic study of the class imbalance problem in convolutional neural networks

3.1k citations

Showing eess.IVShow all

12 papers · 1 filter

eess.IV2025

BreastSegNet: Multi-label Segmentation of Breast MRI

Qihang Li, Jichen Yang, Yaqian Chen +4

Breast MRI provides high-resolution imaging critical for breast cancer screening and preoperative staging. However, existing segmentation methods for breast MRI remain limited in s…

eess.IV2024★ 14 cited

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%.…

eess.IV2024★ 9 cited

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…

eess.IV2023★ 5 cited

Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach

Jikai Zhang, Carlos Santos, Christine Park +2

Large numbers of radiographic images are available in knee radiology practices which could be used for training of deep learning models for diagnosis of knee abnormalities. However…

eess.IV2023★ 38 cited

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi +48

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 ye…

eess.IV2022★ 66 cited

RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation

Reza Rasti, Armin Biglari, Mohammad Rezapourian +2

Optical coherence tomography (OCT) helps ophthalmologists assess macular edema, accumulation of fluids, and lesions at microscopic resolution. Quantification of retinal fluids is n…