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20182026
most citedReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

405 citations · 1.1k across the 81 of their papers we have counts for

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Showing 2023Show all

17 papers · 1 filter

cs.CV2023

PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification

Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang +6

Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras. It supports multimodal tasks, including text-based person retri…

cs.NE2023★ 1 cited

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans

Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar +7

In this study, we propose a new activation function, called Adaptive Smooth Activation Unit (ASAU), tailored for optimized gradient propagation, thereby enhancing the proficiency o…

cs.CV2023

Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation

Vandan Gorade, Sparsh Mittal, Debesh Jha +1

Knowledge distillation (KD) has demonstrated remarkable success across various domains, but its application to medical imaging tasks, such as kidney and liver tumor segmentation, h…

cs.CV2023★ 2 cited

SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation

Vandan Gorade, Sparsh Mittal, Debesh Jha +1

In recent years, continuous latent space (CLS) and discrete latent space (DLS) deep learning models have been proposed for medical image analysis for improved performance. However,…

cs.CV2023★ 3 cited

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model

Zheyuan Zhang, Lanhong Yao, Bin Wang +5

Large-scale, big-variant, high-quality data are crucial for developing robust and successful deep-learning models for medical applications since they potentially enable better gene…

eess.IV2023

Domain Generalization with Fourier Transform and Soft Thresholding

Hongyi Pan, Bin Wang, Zheyuan Zhang +5

Domain generalization aims to train models on multiple source domains so that they can generalize well to unseen target domains. Among many domain generalization methods, Fourier-t…