Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Dhanuj Gandikota"'
3
Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation
Autor: Dhanuj Gandikota, Daniel Hoklai Chapman-Sung, Chuan Zhou, Richard H. Cohan, Heang Ping Chan, Elaine M. Caoili, Ravi K. Samala, Alon Z. Weizer, Lubomir M. Hadjiiski, Ajjai Alva
Publikováno v: Medical Imaging 2020: Computer-Aided Diagnosis.
Stage T2 is the clinical threshold to administer neoadjuvant chemotherapy for bladder cancer. In this study a deep learning convolutional neural network (DL-CNN) was trained to aid clinicians in staging of bladder cancer in CT Urography (CTU). The DL
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0adb3e6a01fdb5cdbcf71a876cb4ec1
https://doi.org/10.1117/12.2551309
Zobrazit plný text záznamu
4
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system
Autor: Jun Wei, Chuan Zhou, Heang Ping Chan, Dhanuj Gandikota, Chintana Paramagul, Kenny H. Cha, Ajjai Alva, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Lubomir M. Hadjiiski
Publikováno v: Medical Imaging: Computer-Aided Diagnosis
In bladder cancer, stage T2 is an important threshold in the decision of administering neoadjuvant chemotherapy. Our long-term goal is to develop a quantitative computerized decision support system (CDSS-S) to aid clinicians in accurate staging. In t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ef31b1d1fde825701963a6a7a50057d
https://doi.org/10.1117/12.2295013
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje