Tu2004 ARTIFICIAL INTELLIGENCE NETWORK TO AID THE DIAGNOSIS OF EARLY ESOPHAGEAL SQUAMOUS CELL CARCINOMA AND ESOPHAGEAL INFLAMMATIONS IN WHITE LIGHT ENDOSCOPIC IMAGES - 14/08/19
Doi : 10.1016/j.gie.2019.03.1148
Dehua Tang 1, Xuying Wang 2, Lei Wang 1, Guoping He 2, Yiwei Fu 3, Xianhong Li 2, Yao Zhang 2, Huimin Guo 1, Hao Zhu 1, Guifang Xu 1, Xiaoping Zou 1
1 Department of Gastroenterology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China
2 Ewell Technology Company, Hangzhou, Zhejiang, China
3 Department of Gastroenterology, Taizhou People's Hospital, Taizhou, China
Il testo completo di questo articolo è disponibile in PDF.
Mappa
© 2019
Pubblicato da Elsevier Masson SAS.
Vol 89 - N° 6S
P. AB654 - giugno 2019 Ritorno al numero
Articolo precedente
- Tu2003 APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS COULD DETECT ALL LATERALLY SPREADING TUMOR IN COLONOSCOPIC IMAGES
- Satoki Shichijo, Kazuharu Aoyama, Tsuyoshi Ozawa, Motoi Miura, Hiromu Fukuda, Yoji Takeuchi, Hirotoshi Takiyama, Toshiaki Hirasawa, Tatusya Onishi, Keigo Matsuo, Soichiro Ishihara, Ryu Ishihara, Tomohiro Tada
- Tu2005 DEVELOPMENT AND VALIDATION OF A DEEP LEARNING ALGORITHM FOR DETECTION AND RECOGNITION OF PRECANCEROUS LESION IN ESOPHAGUS
- SHILUN CAI, Yunshi Zhong, Ping-Hong Zhou
Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.
Già abbonato a @@106933@@ rivista ?