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518 results on '"Nemoto Tetsuo"'

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1. Computer-aided diagnosis for the resect-and-discard strategy for colorectal polyps: a systematic review and meta-analysis

2. A novel artificial intelligence–assisted “vascular healing” diagnosis for prediction of future clinical relapse in patients with ulcerative colitis: a prospective cohort study (with video)

4. Gene expression analysis of a murine model with pulmonary vascular remodeling compared to end-stage IPAH lungs

5. Literature survey on epidemiology and pathology of cardiac fibroma

6. Literature survey on epidemiology and pathology of gangliocytic paraganglioma

7. Pulmonary tumor thrombotic microangiopathy induced by gastric carcinoma: Morphometric and immunohistochemical analysis of six autopsy cases

8. Leiomyosarcoma with partial rhabdomyoblastic differentiation: First case report of primary cardiac origin

9. Successful treatment of desmoid tumor of the chest wall with tranilast: a case report

10. Duodenal gangliocytic paraganglioma showing lymph node metastasis: A rare case report

11. Endoscopic resection alone as a potential treatment method for low-risk deep invasive T1 colorectal cancer

15. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study

19. Efficacy of a whole slide image‐based prediction model for lymph node metastasis in T1 colorectal cancer: A systematic review.

23. Artificial Intelligence to Predict the Risk of Lymph Node Metastasis in T2 Colorectal Cancer

24. Computer-aided diagnosis for the resect-and-discard strategy for colorectal polyps: a systematic review and meta-analysis

25. Tumor thickness as a novel risk factor for lymph node metastasis by superficial squamous cell carcinoma of head and neck.

27. Differentiation grade as a risk factor for lymph node metastasis in T1 colorectal cancer

29. Depressed Colorectal Cancer: A New Paradigm in Early Colorectal Cancer

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

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

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

35. 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-

36. Cardiac mucosa in neonates

37. A three-tier classification system based on the depth of submucosal invasion and budding/sprouting can improve the treatment strategy for T1 colorectal cancer: a retrospective multicenter study

41. Whole slide images‐based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence

45. Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer

48. Comprehensive Diagnostic Performance of Real-Time Characterization of Colorectal Lesions Using an Artificial Intelligence–Assisted System: A Prospective Study

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