1 code implementation • 30 Jan 2022 • Krushi Patel, Andres M. Bur, Fengjun Li, Guanghui Wang
Local Transformer-based classification models have recently achieved promising results with relatively low computational costs.
1 code implementation • 3 May 2021 • Krushi Patel, Andres M. Bur, Guanghui Wang
Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer.
1 code implementation • 10 Dec 2021 • Krushi Patel, Guanghui Wang
Channel attention mechanisms in convolutional neural networks have been proven to be effective in various computer vision tasks.
no code implementations • 12 Jul 2020 • Krushi Patel, Kaidong Li, Ke Tao, Quan Wang, Ajay Bansal, Amit Rastogi, Guanghui Wang
In this work, we compare the performance of the state-of-the-art general object classification models for polyp classification.
no code implementations • 24 Aug 2020 • Brian McClannahan, Krushi Patel, Usman Sajid, Cuncong Zhong, Guanghui Wang
The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences.
no code implementations • 22 Apr 2021 • Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang
This work can serve as a baseline for future research in polyp detection and classification.
no code implementations • 27 Mar 2024 • Krushi Patel, Fengjun Li, Guanghui Wang
Detecting and segmenting polyps is crucial for expediting the diagnosis of colon cancer.