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20202022
most citedA Comparative Study on Polyp Classification using Convolutional Neural Networks

86 citations · 88 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Aggregating Global Features into Local Vision Transformer

Krushi Patel, Andres M. Bur, Fengjun Li +1

Local Transformer-based classification models have recently achieved promising results with relatively low computational costs. However, the effect of aggregating spatial global in…

eess.IV2021

Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation

Krushi Patel, Andres M. Bur, Guanghui Wang

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the di…

cs.CV2021

Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations

Kaidong Li, Mohammad I. Fathan, Krushi Patel +6

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effectiv…

cs.CV20201 cited

Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks

Brian McClannahan, Krushi Patel, Usman Sajid +2

The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert t…

cs.CV202086 cited

A Comparative Study on Polyp Classification using Convolutional Neural Networks

Krushi Patel, Kaidong Li, Ke Tao +4

Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon o…