Results 31 to 40 of about 54,302 (180)
Journal of Nature and Science of Medicine, 2021 Background: The association of adenocarcinoma of the colon and neuroendocrine tumor (NET) of the small bowel has been previously described in Crohn's disease (CD), however the concomitance of both neoplasms is extremely rare.
Nahla Azzam
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Reducing the Model Variance of a Rectal Cancer Segmentation Network [PDF]
IEEE Access, vol. 7, Issue. 1, pp. 182725-182733, 2019, 2019 In preoperative imaging, the demarcation of rectal cancer with magnetic resonance images provides an important basis for cancer staging and treatment planning. Recently, deep learning has greatly improved the state-of-the-art method in automatic segmentation.
arxiv +1 more source
Pretreatment inflammatory markers predicting treatment outcomes in colorectal cancer [PDF]
Annals of Coloproctology, 2022 We aimed to review whether pretreatment inflammatory markers reflect the short- and long-term outcomes of patients with colon cancer, rectal cancer, colon and rectal cancers, and metastatic colorectal cancer (CRC).
Sanghyun An +7 more
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Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images [PDF]
, 2022 Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also necessary, since low-risk IPMNs can be under surveillance program, while high-risk IPMNs have to be ...
arxiv +1 more source
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging [PDF]
arXiv, 2022 Volumetric images from Magnetic Resonance Imaging (MRI) provide invaluable information in preoperative staging of rectal cancer. Above all, accurate preoperative discrimination between T2 and T3 stages is arguably both the most challenging and clinically significant task for rectal cancer treatment, as chemo-radiotherapy is usually recommended to ...
arxiv
Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data [PDF]
arXiv, 2021 Automatic detection of brain neoplasm in Magnetic Resonance Imaging (MRI) is gaining importance in many medical diagnostic applications. This report presents two improvements for brain neoplasm detection in MRI data: an advanced preprocessing technique is proposed to improve the area of interest in MRI data and a hybrid technique using Convolutional ...
arxiv
Dilemmas in Endoscopic Management of Rectal Neuroendocrine Tumors: A Case-Based Discussion
Gastroenterology Research and Practice, 2015 Rectal neuroendocrine tumors are uncommon neoplasms that historically were regarded as having an indolent course. Due to the widespread use of screening colonoscopy neuroendocrine tumors of the rectum are identified with increasing frequency. More recent
Brian P. Rajca, Mihir S. Wagh
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Asian Journal of Surgery, 2020 Summary: Background: Rectal neoplasm is one of the most common malignancies worldwide. Screening programs for rectal neoplasm result in early diagnosis and a decrease in disease-related mortality and morbidity.
Yan-Jiun Huang +5 more
doaj
CARE: A Large Scale CT Image Dataset and Clinical Applicable Benchmark Model for Rectal Cancer Segmentation [PDF]
arXiv, 2023 Rectal cancer segmentation of CT image plays a crucial role in timely clinical diagnosis, radiotherapy treatment, and follow-up. Although current segmentation methods have shown promise in delineating cancerous tissues, they still encounter challenges in achieving high segmentation precision.
arxiv
Voiding Dysfunction after Total Mesorectal Excision in Rectal Cancer [PDF]
International Neurourology Journal, 2011 Purpose The aim of this study was to assess the voiding dysfunction after rectal cancer surgery with total mesorectal excision (TME). Methods This was part of a prospective study done in the rectal cancer patients who underwent surgery with TME between ...
Jae Heon Kim +7 more
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