Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Boonsakan, P."'
Autor:
Seesawad, Narongrid, Ittichaiwong, Piyalitt, Sudhawiyangkul, Thapanun, Sawangjai, Phattarapong, Thuwajit, Peti, Boonsakan, Paisarn, Sripodok, Supasan, Veerakanjana, Kanyakorn, Luenam, Phoomraphee, Charngkaew, Komgrid, Pongpaibul, Ananya, Angkathunyakul, Napat, Hnoohom, Narit, Yuenyong, Sumeth, Thuwajit, Chanitra, Wilaiprasitporn, Theerawit
Patch classification models based on deep learning have been utilized in whole-slide images (WSI) of H&E-stained tissue samples to assist pathologists in grading follicular lymphoma patients. However, these approaches still require pathologists to ma
Externí odkaz:
http://arxiv.org/abs/2307.03211
Autor:
Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 514-523 (2024)
Background: Deep learning models for patch classification in whole-slide images (WSIs) have shown promise in assisting follicular lymphoma grading. However, these models often require pathologists to identify centroblasts and manually provide refined
Externí odkaz:
https://doaj.org/article/0c94c612c58b45a59a13709fb48791dd
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 16, Pp 2229-2235 (2023)
Chaninan Kositkuljorn,1 Suthinee Rutnin,1 Teerapong Rattananukrom,1 Teeraya Puavilai,2 Burana Khiankaew,3 Paisarn Boonsakan,3 Wimolsiri Iamsumang1 1Division of Dermatology, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol Uni
Externí odkaz:
https://doaj.org/article/219bea89ca2749fb99661dd11d1cb535
Autor:
Sumeth Yuenyong, Paisarn Boonsakan, Supasan Sripodok, Peti Thuwajit, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Chanitra Thuwajit
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionDetection and counting of Centroblast cells (CB) in hematoxylin & eosin (H&E) stained whole slide image (WSI) is an important workflow in grading Lymphoma. Each high power field (HPF) patch of a WSI is inspected for the number of CB cells
Externí odkaz:
https://doaj.org/article/facc13b7ac3549eab0583841bfc8952c
Autor:
Naree Warnnissorn, Nonglak Kanitsap, Pimjai Niparuck, Paisarn Boonsakan, Prapasri Kulalert, Wasithep Limvorapitak, Lantarima Bhoopat, Supawee Saengboon, Pichika Chantrathammachart, Teeraya Puavilai, Suporn Chuncharunee
Publikováno v:
Hematology, Vol 27, Iss 1, Pp 1237-1245 (2022)
Background Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive lymphoma. The standard first-line therapy for DLBCL consists of rituximab cyclophosphamide doxorubicin vincristine and prednisone (R-CHOP). About 50–70% of patients may
Externí odkaz:
https://doaj.org/article/7a3587e67d3344bc84261152bbbe29ea
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 14, Pp 1057-1064 (2021)
Siriorn Sukanjanapong,1 Kumutnart Chanprapaph,1 Suthinee Rutnin,1 Paisan Boonsakan,2 Sulada Pukiat3 1Division of Dermatology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; 2Department of Pathology, Faculty of Medic
Externí odkaz:
https://doaj.org/article/aa5571b8eae74b2c80f0242e9bee1965
Akademický článek
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Autor:
Pimjai Niparuck, Paisarn Boonsakan, Taksayut Sutthippingkiat, Sulada Pukiat, Pichika Chantrathammachart, Sithakom Phusanti, Kochawan Boonyawat, Teeraya Puavilai, Pantep Angchaisuksiri, Artit Ungkanont, Suporn Chuncharunee, Vichai Atichartakarn
Publikováno v:
Diagnostic Pathology, Vol 14, Iss 1, Pp 1-8 (2019)
Abstract Objectives Standard treatment with a thiotepa-based regimen in countries with a limited resource is less feasible. Aims of the study were to evaluate the treatment outcome, and identify the prognostic factors in patients with primary central
Externí odkaz:
https://doaj.org/article/bc22e09f481349089b4b01af00615494
Akademický článek
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Akademický článek
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