287 results on '"Kudo, Toyoki"'
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2. Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
3. Treatment policy for colonic laterally spreading tumors based on each clinicopathologic feature of 4 subtypes: actual status of pseudo-depressed type
4. Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
5. Endocytoscopy for the differential diagnosis of colorectal low-grade adenoma: a novel possibility for the “resect and discard” strategy
6. New-generation full-spectrum endoscopy versus standard forward-viewing colonoscopy: a multicenter, randomized, tandem colonoscopy trial (J-FUSE Study)
7. Management and risk factor of stenosis after endoscopic submucosal dissection for colorectal neoplasms
8. Classification of nuclear morphology in endocytoscopy of colorectal neoplasms
9. Endocytoscopic microvasculature evaluation is a reliable new diagnostic method for colorectal lesions (with video)
10. Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)
11. Efficiency of endocytoscopy in differentiating types of serrated polyps
12. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY
13. A PROSPECTIVE STUDY OF REAL-TIME COMPUTER-AIDED CHARACTERIZATION OF COLORECTAL LESIONS: DIAGNOSTIC PERFORMANCE AND IMPACT ON HUMAN DIAGNOSIS
14. CLINICAL AND PATHOLOGICAL FEATURE OF DEPRESSED-TYPE COLORECTAL NEOPLASM
15. “VASCULAR HEALING” DIAGNOSED WITH ARTIFICIAL INTELLIGENCE ASSISTED NARROW-BAND IMAGING DURING COLONOSCOPY: A NOVEL TREAT-TO-TARGET IN PATIENTS WITH ULCERATIVE COLITIS
16. IS ADDITIONAL SURGERY NECESSARY FOR LOW RISK DEEP SUBMUCOSAL INVASIVE COLORECTAL CANCER?
17. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES
18. ID: 3522787 IMPORTANCE OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDCYTOSCOPY
19. ID: 3521050 HOW TO DIAGNOSE TUMOR DIFFERENTIATION AS A RISK FACTOR FOR LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER?
20. ID: 3521790 DOES ARTIFICIAL INTELLIGENCE IMPROVE NEOPLASMS DETECTION RATE FOR COLONOSCOPY? - A SINGLE CENTER PILOT STUDY
21. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS
22. ID: 3525665 DIAGNOSING COLORECTAL LOW-GRADE ADENOMA USING ENDOCYTOSCOPY
23. ID: 3521853 CLINICAL AND PATHOLOGICAL CHARACTERISTICS OF DEPRESSED-TYPE COLORECTAL NEOPLASMS
24. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER
25. Sa2029 EC-V (ENDOCYTOSCOPIC VASCULAR) PATTERN IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS
26. Mo1644 THE CLINICOPATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASMS
27. 435 PREDICTION OF LYMPH NODE METASTASIS IN T2 COLORECTAL CANCER BASED ON ARTIFICIAL INTELLIGENCE –PROPOSAL OF AN INDICATION FOR FUTURE FULL-THICKNESS ENDOSCOPIC RESECTION-
28. Mo1635 CLASSIFICATION OF NUCLEAR MORPHOLOGY OF EC FINDINGS IN COLORECTAL ENDOCYTOSCOPY
29. Sa2019 DIFFERENTIAL DIAGNOSIS OF COLORECTAL LOW-GRADE ADENOMA USING ENDOCYTOSCOPY: A NOVEL POSSIBILITY FOR THE “RESECT AND DISCARD” STRATEGY
30. Sa2059 THE GOBLET APPEARANCE OBSERVED WITH ENDOCYTOSCOPY FOR PREDICTION OF HISTOLOGICAL MUCIN DEPLETION AND CLINICAL RELAPSE IN PATIENTS WITH ULCERATIVE COLITIS.
31. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY
32. Su1068 CLINICOPATHOLOGICAL FEATURES OF "SMALL" T1 COLORECTAL CANCERS
33. 433 ENDOSCOPIC FEATURE OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY
34. Mo1653 DAY SURGERY OF ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASMS
35. 475 ARTIFICIAL INTELLIGENCE WILL HELP IN DETERMINING THE NEED FOR ADDITIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER –ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING
36. Tu1990 ARTIFICIAL INTELLIGENCE-ASSISTED POLYP DETECTION SYSTEM FOR COLONOSCOPY, BASED ON THE LARGEST AVAILABLE COLLECTION OF CLINICAL VIDEO DATA FOR MACHINE LEARNING
37. Su1713 CLINICOPATHOLOGICAL DIFFERENCES BETWEEN RIGHT- AND LEFT-SIDED T1 COLORECTAL CANCER: A SINGLE CENTER RETROSPECTIVE STUDY
38. Tu1942 CLASSIFICATION OF NUCLEAR MORPHOLOGICAL FINDINGS FOR COLORECTAL NEOPLASMS USING ENDOCYTOSCOPY (EC)
39. Tu2010 ENDOCYTOSCOPIC VASCULAR PATTERN CAN PREDICT PATHOLOGICAL DIAGNOSIS IN COLORECTAL LESIONS
40. Mo1692 STUDIES ON CLINICOPATHOLOGICAL CHARACTERISTICS AND THE LONG-TERM PROGNOSIS OF DEPRESSED-TYPE COLORECTAL CARCINOMAS: A SINGLE CENTER RETROSPECTIVE STUDY ON BIG DATA
41. 482 PERFORMANCE OF NON-EXPERT ENDOSCOPISTS IN OPTICAL BIOPSY OF DIMINUTIVE COLORECTAL POLYPS WITH REAL-TIME USE OF ARTIFICIAL INTELLIGENCE
42. Mo1666 SURVEILLANCE AFTER ENDOSCOPIC SUBMUCOSAL DISSECTION FOR SUPERFICIAL COLORECTAL TUMORS
43. Tu2011 CHARACTERISTICS OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY
44. Sa1946 COLORECTAL ENDOCYTOSCOPY BASED MICROVESSELS OBSERVATION IS USEFUL FOR PREDICTING PATHOLOGICAL DIAGNOSIS
45. Mo1726 STUDIES ON CLINICOPATHOLOGICAL CHARACTERISTICS AND THE LONG-TERM PROGNOSIS DEPRESSED-TYPE COLORECTAL CARCINOMAS
46. Sa1909 GRADING OF DYSPLASIA FOR DIAGNOSING COLORECTAL ADENOMAS USING ENDOCYTOSCOPY
47. Mo1724 ARTIFICIAL INTELLIGENCE IS A POWERFUL TOOL TO DETERMINE THE NEED FOR ADDTIONAL SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER −ANALYSIS BASED ON A BIG DATA FOR MACHINE LEARNING−
48. Mo1991 Can Artificial Intelligence Correctly Diagnose Sessile Serrated Adenomas/Polyps?
49. Tu1955 Endoscopic Characteristics of Depressed Type Colorectal Neoplasms in Magnifying Endoscopy and Endocytoscopy
50. 154 Computer-Aided Diagnosis Based on Endocytoscopy With Narrow-Band Imaging Allows Accurate Diagnosis of Diminutive Colorectal Lesions
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