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Your search keyword '"Kouyama, Yuta"' showing total 153 results

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153 results on '"Kouyama, Yuta"'

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2. A NOVEL ENDOSCOPIC RESECTION APPROACH FOR T2 COLORECTAL CANCER -ANALYSIS OF RISK FACTORS FOR LYMPH NODE METASTASIS-

3. DIAGNOSTIC PERFORMANCE OF ARTIFICIAL INTELLIGENCE AND MAGNIFYING ENDOSCOPY IN THE PREDICTION OF THE INVASION DEPTH OF EARLY COLORECTAL CANCER

4. CLINICAL AND PATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASM

5. DISTINCTIVE ASPECTS OF DEPRESSED TYPE COLORECTAL NEOPLASMS SHOWN IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY

6. EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI)-ASSISTED CHARACTERIZATION FOR COLORECTAL LESIONS USING NARROW-BAND IMAGING FOR THE DIAGNOSTIC OF ENDOSCOPISTS -MULTI-READER, MULTI-CASE STUDY-

7. A PROOF CONCEPT STUDY FOR COLORECTAL ENDOSCOPIC SUBMUCOSAL DISSECTION NAVIGATION BY USING ARTIFICIAL INTELLIGENCE

8. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY

9. CLINICAL AND PATHOLOGICAL FEATURE OF DEPRESSED-TYPE COLORECTAL NEOPLASM

10. EFFECTIVENESS OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.

11. NOVEL “RESECT AND ANALYSIS” STRATEGY FOR T2 COLORECTAL CANCER WITH USE OF ARTIFICIAL INTELLIGENCE

12. IS ADDITIONAL SURGERY NECESSARY FOR LOW RISK DEEP SUBMUCOSAL INVASIVE COLORECTAL CANCER?

13. MOLECULAR AND CLINICOPATHOLOGICAL FEATURES OF DEPRESSED T2 COLORECTAL CANCER BASED ON CMS CLASSIFICATION

14. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES

15. A NEW ENDOSCOPIC TREATMENT STRATEGY BASED ON THE RISK OF LYMPH NODE METASTASIS OF T2 COLORECTAL CANCER.

16. EVALUATING THE IMPACT OF COMPUTER-AIDED QUALITY IMPROVEMENT ON COLONOSCOPY.

17. A PROSPECTIVE OBSERVATIONAL STUDY TO EVALUATE THE ABILITY OF AN ARTIFICIAL INTELLIGENCE NAVIGATION SYSTEM TO RECOGNIZE BLOOD VESSELS, SUBMUCOSA, AND MUSCLE LAYERS IN COLORECTAL SUBMUCOSAL DISSECTION.

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: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.

21. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

22. ID: 3521853 CLINICAL AND PATHOLOGICAL CHARACTERISTICS OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

23. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER

24. Sa2029 EC-V (ENDOCYTOSCOPIC VASCULAR) PATTERN IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

25. Mo1644 THE CLINICOPATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

26. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY

27. Su1068 CLINICOPATHOLOGICAL FEATURES OF "SMALL" T1 COLORECTAL CANCERS

28. 433 ENDOSCOPIC FEATURE OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY

29. CLINICOPATHOLOGICAL FEATURES OF THE TIS, T1, T2 RECTAL CANCER.

32. Mo1653 DAY SURGERY OF ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASMS

33. 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

34. Su1713 CLINICOPATHOLOGICAL DIFFERENCES BETWEEN RIGHT- AND LEFT-SIDED T1 COLORECTAL CANCER: A SINGLE CENTER RETROSPECTIVE STUDY

35. Mo1692 STUDIES ON CLINICOPATHOLOGICAL CHARACTERISTICS AND THE LONG-TERM PROGNOSIS OF DEPRESSED-TYPE COLORECTAL CARCINOMAS: A SINGLE CENTER RETROSPECTIVE STUDY ON BIG DATA

37. Su1331 GASTRIC ESD IN DAY SURGERY

38. Mo1666 SURVEILLANCE AFTER ENDOSCOPIC SUBMUCOSAL DISSECTION FOR SUPERFICIAL COLORECTAL TUMORS

39. Tu2011 CHARACTERISTICS OF DEPRESSED TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY

40. 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−

41. Tu1955 Endoscopic Characteristics of Depressed Type Colorectal Neoplasms in Magnifying Endoscopy and Endocytoscopy

42. Su1674 Clinicopathological Features and Long-Term Prognosis of Depressed-Type Colorectal Carcinomas

43. Su1622 Endocytoscopic Diagnosis of Tumor Grading in Early-Stage Colorectal Cancer

44. Su1643 Artificial Intelligence Can Accurately Predict the Presence of Lymph Node Metastasis in Pt1 Colorectal Cancers

45. Su1615 Diagnostic Characteristics of Depressed Type Colorectal Neoplasms in Magnifying Endoscopy and Endocytoscopy

46. Su1611 Does Gender Predict Lymph Node Metastasis in pT1 Colorectal Cancer? A Systematic Review and Meta-Analysis

47. Su1616 Tthe Growth Pathway and the Pathological Features of Depressed-Type Colorectal Carcinomas

48. Sa1150 A Wavy Cap Realizes Higher Cecal Intubation Rate, Faster Insertion Time, and Rapid Learning Curve for Novice Endoscopists: A Prospective Comparative Trial

49. Su1702 Diagnostic Characteristics of Depressed Type Colorectal Neoplasms Examined With Magnifying Chromo-Endoscopy and Endocytoscopy

50. Sa1576 the Management of Pedunculated T1 Colorectal Carcinomas Based on the Risk Factors of Nodal Metastasis; Should WE Really Distinguish‘Head Invasion' and ‘Stalk Invasion' or Pedunculated Type and the Others?

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