297 results on '"Kouyama, Yuta"'
Search Results
2. Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer
3. Novel “resect and analysis” approach for T2 colorectal cancer with use of artificial intelligence
4. Nano-scale physical properties characteristic to metastatic intestinal cancer cells identified by high-speed scanning ion conductance microscope
5. Efficacy of a whole slide image‐based prediction model for lymph node metastasis in T1 colorectal cancer: A systematic review.
6. Left-sided location is a risk factor for lymph node metastasis of T1 colorectal cancer: a single-center retrospective study
7. Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer.
8. Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance.
9. Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer
10. Endoscopic submucosal dissection for colorectal neoplasms: Risk factors for local recurrence and long‐term surveillance
11. Impact of computer‐aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.
12. Depressed Colorectal Cancer: A New Paradigm in Early Colorectal Cancer
13. Risk factors of recurrence in T1 colorectal cancers treated by endoscopic resection alone or surgical resection with lymph node dissection
14. A NOVEL ENDOSCOPIC RESECTION APPROACH FOR T2 COLORECTAL CANCER -ANALYSIS OF RISK FACTORS FOR LYMPH NODE METASTASIS-
15. DIAGNOSTIC PERFORMANCE OF ARTIFICIAL INTELLIGENCE AND MAGNIFYING ENDOSCOPY IN THE PREDICTION OF THE INVASION DEPTH OF EARLY COLORECTAL CANCER
16. CLINICAL AND PATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASM
17. DISTINCTIVE ASPECTS OF DEPRESSED TYPE COLORECTAL NEOPLASMS SHOWN IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY
18. 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-
19. A PROOF CONCEPT STUDY FOR COLORECTAL ENDOSCOPIC SUBMUCOSAL DISSECTION NAVIGATION BY USING ARTIFICIAL INTELLIGENCE
20. Whole slide image‐based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.
21. Figure S5 from Combined Mutation of Apc, Kras, and Tgfbr2 Effectively Drives Metastasis of Intestinal Cancer
22. Table S2 from Combined Mutation of Apc, Kras, and Tgfbr2 Effectively Drives Metastasis of Intestinal Cancer
23. Data from Combined Mutation of Apc, Kras, and Tgfbr2 Effectively Drives Metastasis of Intestinal Cancer
24. Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer
25. Practical problems of measuring depth of submucosal invasion in T1 colorectal carcinomas
26. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY
27. CLINICAL AND PATHOLOGICAL FEATURE OF DEPRESSED-TYPE COLORECTAL NEOPLASM
28. EFFECTIVENESS OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.
29. NOVEL “RESECT AND ANALYSIS” STRATEGY FOR T2 COLORECTAL CANCER WITH USE OF ARTIFICIAL INTELLIGENCE
30. IS ADDITIONAL SURGERY NECESSARY FOR LOW RISK DEEP SUBMUCOSAL INVASIVE COLORECTAL CANCER?
31. MOLECULAR AND CLINICOPATHOLOGICAL FEATURES OF DEPRESSED T2 COLORECTAL CANCER BASED ON CMS CLASSIFICATION
32. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES
33. Changes in halitosis value before and afterHelicobacter pylorieradication: A single‐institutional prospective study
34. Tumor Location as a Prognostic Factor in T1 Colorectal Cancer
35. Current problems and perspectives of pathological risk factors for lymph node metastasis in T1 colorectal cancer: Systematic review
36. Management of T1 colorectal cancers after endoscopic treatment based on the risk stratification of lymph node metastasis
37. Clinicopathological features of small T1 colorectal cancers
38. Risk Stratification of T1 Colorectal Cancer Metastasis to Lymph Nodes: Current Status and Perspective
39. Clinical and endoscopic characteristics of post-colonoscopy colorectal cancers detected within 10 years after a previous negative examination
40. A NEW ENDOSCOPIC TREATMENT STRATEGY BASED ON THE RISK OF LYMPH NODE METASTASIS OF T2 COLORECTAL CANCER.
41. EVALUATING THE IMPACT OF COMPUTER-AIDED QUALITY IMPROVEMENT ON COLONOSCOPY.
42. 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.
43. ID: 3522787 IMPORTANCE OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDCYTOSCOPY
44. ID: 3521050 HOW TO DIAGNOSE TUMOR DIFFERENTIATION AS A RISK FACTOR FOR LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER?
45. ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.
46. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS
47. ID: 3521853 CLINICAL AND PATHOLOGICAL CHARACTERISTICS OF DEPRESSED-TYPE COLORECTAL NEOPLASMS
48. The novel driver gene ASAP2 is a potential druggable target in pancreatic cancer
49. Impaired tumor immune response in metastatic tumors is a selective pressure for neutral evolution in CRC cases
50. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.