Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sasima Sukcharoen"'
Autor:
Roongruedee Chaiteerakij, Darlene Ariyaskul, Kittipat Kulkraisri, Terapap Apiparakoon, Sasima Sukcharoen, Oracha Chaichuen, Phaiboon Pensuwan, Thodsawit Tiyarattanachai, Rungsun Rerknimitr, Sanparith Marukatat
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The effectiveness of ultrasonography (USG) in liver cancer screening is partly constrained by the operator’s expertise. We aimed to develop and evaluate an AI-assisted system for detecting and classifying focal liver lesions (FLLs) from US
Externí odkaz:
https://doaj.org/article/a2161e037cd547b78956e30522e7da6e
Autor:
Thodsawit Tiyarattanachai, Terapap Apiparakoon, Sanparith Marukatat, Sasima Sukcharoen, Sirinda Yimsawad, Oracha Chaichuen, Siwat Bhumiwat, Natthaporn Tanpowpong, Nutcha Pinjaroen, Rungsun Rerknimitr, Roongruedee Chaiteerakij
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Despite the wide availability of ultrasound machines for hepatocellular carcinoma surveillance, an inadequate number of expert radiologists performing ultrasounds in remote areas remains a primary barrier for surveillance. We demonstrated fe
Externí odkaz:
https://doaj.org/article/664c88e475cf49489a754d4714c53af4
Autor:
Thodsawit Tiyarattanachai, Terapap Apiparakoon, Sanparith Marukatat, Sasima Sukcharoen, Nopavut Geratikornsupuk, Nopporn Anukulkarnkusol, Parit Mekaroonkamol, Natthaporn Tanpowpong, Pamornmas Sarakul, Rungsun Rerknimitr, Roongruedee Chaiteerakij
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0252882 (2021)
Artificial intelligence (AI) using a convolutional neural network (CNN) has demonstrated promising performance in radiological analysis. We aimed to develop and validate a CNN for the detection and diagnosis of focal liver lesions (FLLs) from ultraso
Externí odkaz:
https://doaj.org/article/2b659181f8be4df491eea6c38b6c6b02
Autor:
Sanparith Marukatat, Rungsun Rerknimitr, Sasima Sukcharoen, Parit Mekaroonkamol, Nopporn Anukulkarnkusol, Terapap Apiparakoon, Natthaporn Tanpowpong, Roongruedee Chaiteerakij, Thodsawit Tiyarattanachai, Pamornmas Sarakul, Nopavut Geratikornsupuk
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 6, p e0252882 (2021)
PLoS ONE, Vol 16, Iss 6, p e0252882 (2021)
Artificial intelligence (AI) using a convolutional neural network (CNN) has demonstrated promising performance in radiological analysis. We aimed to develop and validate a CNN for the detection and diagnosis of focal liver lesions (FLLs) from ultraso