Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFN$α$ therapy against Myeloproliferative Neoplasms [PDF]
Mathematical Medicine and Biology: A Journal of the IMA, Volume
41, Issue 2, June 2024, Pages 110-134, 2021 Myeloproliferative Neoplasms (MPN) are blood cancers that appear after acquiring a driver mutation in a hematopoietic stem cell. These hematological malignancies result in the overproduction of mature blood cells and, if not treated, induce a risk of cardiovascular events and thrombosis. Pegylated IFN$\alpha$ is commonly used to treat MPN, but no clear
arxiv +1 more source
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
Continuous Speech for Improved Learning Pathological Voice Disorders [PDF]
arXiv, 2022 Goal: Numerous studies had successfully differentiated normal and abnormal voice samples. Nevertheless, further classification had rarely been attempted. This study proposes a novel approach, using continuous Mandarin speech instead of a single vowel, to classify four common voice disorders (i.e.
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
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
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
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
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
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
Higher order organizational features can distinguish protein interaction networks of disease classes: a case study of neoplasms and neurological diseases [PDF]
arXiv, 2022 Neoplasms (NPs) and neurological diseases and disorders (NDDs) are amongst the major classes of diseases underlying deaths of a disproportionate number of people worldwide. To determine if there exist some distinctive features in the local wiring patterns of protein interactions emerging at the onset of a disease belonging to either of these two ...
arxiv