Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Triparna Poddar"'
Autor:
Murali K. Ankem, Triparna Poddar, Saad P. Shaheen, Ashish Tyagi, Venkatesh Kolluru, Balaji Chandrasekaran, Maiying Kong, Crystal Lynn Valadon, Uttara Saran, Chendil Damodaran, Kristy Doan Nguyen
Publikováno v:
Translational Research. 231:92-101
Currently, clinicians rely on clinical nomograms to stratify progression risk at the time of diagnosis in patients with prostate cancer (CaP). However, these tools may not accurately distinguish aggressive potential in low-grade CaP. The current stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::154c941447797a72a6cd33a553983fc6
https://doi.org/10.1016/j.trsl.2020.11.014
https://doi.org/10.1016/j.trsl.2020.11.014
Autor:
Dylan Flaherty, Evan Winrich, Mohamed E. Eisa, Triparna Poddar, Amy Pooler, Maiying Kong, Endashaw Omer
Publikováno v:
American Journal of Gastroenterology. 117:e170-e170
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50970f80df7a6b2dcec1705330ff9da5
https://doi.org/10.14309/01.ajg.0000857604.20660.51
https://doi.org/10.14309/01.ajg.0000857604.20660.51
Autor:
Evan Winrich, Dylan T. Flaherty, Mohamed Eisa, Triparna Poddar, Amy Pooler, Maiying kong, Endashaw Omer
Publikováno v:
Gastroenterology. 162:S-469
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cab24d39a80f5929c014cb2d9b110a95
https://doi.org/10.1016/s0016-5085(22)61119-3
https://doi.org/10.1016/s0016-5085(22)61119-3
Autor:
Dylan T. Flaherty, Evan Winrich, Mohamed Eisa, Triparna Poddar, Amy Pooler, Maiying kong, Endashaw Omer
Publikováno v:
Gastroenterology. 162:S-1029
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0ce9ac84285b764e4023c88c001d491
https://doi.org/10.1016/s0016-5085(22)62448-x
https://doi.org/10.1016/s0016-5085(22)62448-x
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789811393631
Lung cancer has the highest prevalence in cancer-related deaths due to its rapid progression and it is detected at advanced stages. The paper proposes a novel method for predicting the risk of being malignant of Pulmonary Nodule (PN), presence of whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66fdbbfe8f202074e39cd5c450973b84
https://doi.org/10.1007/978-981-13-9364-8_5
https://doi.org/10.1007/978-981-13-9364-8_5
Autor:
Triparna Poddar, Madhuchanda Kar, Sayan Das, Bhaswati Ganguli, Amlan Chakrabarti, Jhilam Mukherjee
Publikováno v:
Computers & Electrical Engineering. 84:106629
This paper proposes a novel prediction model for detection of sub-centimeter pulmonary nodules from thoracic computed tomography (CT) images. We perform multi-level thresholding for lesion segmentation followed by penalised multinomial classifier for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb00aeb35200ec36126ea68aca27fb20
https://doi.org/10.1016/j.compeleceng.2020.106629
https://doi.org/10.1016/j.compeleceng.2020.106629