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
Capillary Haemangioma of Fallopian Tube: Usual Tumor at Unusual Site
National Board of Examinations Journal of Medical SciencesFallopian tube neoplasms are uncommon, accounting to approximately 1-2% of all female genital tract neoplasms. Hemangiomas are the most common soft tissue neoplasms.
Subashree K +4 more
doaj +1 more source
Mathematical models for order of mutation problem in myeloproliferative neoplasm: non-additivity and non-commutativity [PDF]
arXiv, 2023 In some patients of myeloproliferative neoplasm, two genetic mutations can be found: JAK2 V617F and TET2. When one mutation is present or not, the other mutation has different effects on regulating gene expressions. Besides, when both mutations are present, the order of occurrence might make a difference.
arxiv
Serous cystadenocarcinoma of the spleen
Radiology Case Reports, 2017 The commonly seen primary malignant neoplasms of the spleen are angiosarcoma and lymphoma. We present a case of serous cystadenocarcinoma of the spleen.
Chung Kuao Chou, MD, Shih-Cheng Chou, MD
doaj +1 more source
Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery [PDF]
, 2019 We conducted this study to determine whether fallopian tube anatomy can predict the likelihood of pregnancy and pregnancy outcomes after tubal sterilization reversal. We built a flexible, non-parametric, multivariate model via generalized additive models to assess the effects of the following tubal parameters observed during tubal reparative surgery ...
arxiv +1 more source
Order-of-mutation effects on cancer progression: models for myeloproliferative neoplasm [PDF]
arXiv, 2023 We develop a modeling framework for cancer progression that distinguishes the order of two possible mutations. Recent observations and information on myeloproliferative neoplasms are analyzed within our framework. In some patients with myeloproliferative neoplasms, two genetic mutations can be found, JAK2 V617F and TET2.
arxiv
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival [PDF]
, 2023 Determining the most informative features for predicting the overall survival of patients diagnosed with high-grade gastroenteropancreatic neuroendocrine neoplasms is crucial to improve individual treatment plans for patients, as well as the biological understanding of the disease. Recently developed ensemble feature selectors like the Repeated Elastic
arxiv +1 more source
BlazeNeo: Blazing fast polyp segmentation and neoplasm detection [PDF]
arXiv, 2022 In recent years, computer-aided automatic polyp segmentation and neoplasm detection have been an emerging topic in medical image analysis, providing valuable support to colonoscopy procedures. Attentions have been paid to improving the accuracy of polyp detection and segmentation.
arxiv
Role of frozen section in surgical management of ovarian neoplasm
Gynecology and Minimally Invasive Therapy, 2020 Objective: Cancers of the adnexae, including ovarian and fallopian tube, constitute the eighth most common cancers among women worldwide. Surgery remains the cornerstone in the management of ovarian cancer.
Saphina Palakkan +4 more
doaj +1 more source
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection [PDF]
arXiv, 2021 Automatic polyp segmentation has proven to be immensely helpful for endoscopy procedures, reducing the missing rate of adenoma detection for endoscopists while increasing efficiency. However, classifying a polyp as being neoplasm or not and segmenting it at the pixel level is still a challenging task for doctors to perform in a limited time.
arxiv