CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images

13 December 2020

Papers citing "CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images"

12 / 12 papers shown

Title
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics Swarnava Bhattacharyya Umapada Pal Tapabrata Chakraborti MedIm 42 0 0 31 Mar 2025
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images Sayed Amir Mousavi Mobarakeh K. Kazemi A. Aarabi H. Danyali 19 2 0 13 Jan 2024
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 14 16 0 29 May 2023
Anomaly detection in surveillance videos using transformer based attention model Kapil Deshpande Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal ViT AI4TS 11 12 0 03 Jun 2022
Impact of the composition of feature extraction and class sampling in medicare fraud detection Akrity Kumari Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal 14 4 0 03 Jun 2022
White blood cell subtype detection and classification Nalla Praveen Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal M. Syafrullah Krisna Adiyarta VLM 15 10 0 10 Aug 2021
Machine learning equipped web based disease prediction and recommender system Harish Rajora Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal 14 4 0 05 Jun 2021
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review A. Shoeibi Marjane Khodatars M. Jafari Navid Ghassemi Delaram Sadeghi ... Z. Sani F. Khozeimeh S. Nahavandi U. Acharya Juan M Gorriz 33 176 0 16 Jul 2020
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal Gaurav Rai 8 240 0 04 May 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning F. Shan Yaozong Gao Jun Wang Weiya Shi N. Shi Miaofei Han Zhong Xue D. Shen Yuxin Shi 88 567 0 10 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015