User perceptions of an artificial intelligence-based computer-aided detection system in colonoscopy: a single-center exploratory survey study. [PDF]
J Minim Invasive SurgKo SY +5 more
europepmc +1 more source
The Role of Computational Models in the Detection of Colorectal Carcinoma and Precancerous Lesions. [PDF]
Int J Mol SciZivic J +13 more
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Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions. [PDF]
J Clin MedAntzoulas A +7 more
europepmc +1 more source
Impact of an Artificial Intelligence-Based Computer Aided Detection System (CADe) on Colonoscopies Performed in Hawai'i. [PDF]
Hawaii J Health Soc WelfJain A +4 more
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Computer-Aided Detection Systems: Can Efficacy Be Evaluated as a Single Technological Concept? [PDF]
Dig EndoscKamba S, Sumiyama K.
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Artificial Intelligence for Esophageal Precancerous Lesions and Esophageal Cancer. [PDF]
Korean J Helicobacter Up Gastrointest ResLee H +5 more
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More frames or better labels?: training data and computer-aided detection of sessile serrated lesions. [PDF]
Clin EndoscKim MJ.
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Clinical Performance of Gastric CADe: Beyond Lesion Recognition From the G-CADe Trial. [PDF]
Dig EndoscTakasu A.
europepmc +1 more source
Comment on: The Addition of Computer-Aided Detection (CADe) to Texture and Color Enhancement Imaging (TXI) Does Not Improve Adenoma Detection Rate During Colonoscopy: A Prospective Study. [PDF]
J Gastroenterol HepatolAzam O +4 more
europepmc +1 more source
The CADE ATP System Competition [PDF]
, 2004 Geoff Sutcliffe, Christian B. Suttner
openaire +2 more sources