Results 271 to 280 of about 72,494 (332)

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

A Comparative Analysis of GISTs and Schwannomas in the Sigmoid Colon: Case Report and Review of the Management Strategies. [PDF]

J Clin Med
Golea GI, Ilies RA, Dascalescu S, Morariu DS, Vlad IC.   +4 more
europepmc   +1 more source

Sophisticated Ensemble Deep Learning Approaches for Multilabel Retinal Disease Classification in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper introduces a novel ensemble Deep learning (DL)‐based Multi‐Label Retinal Disease Classification (MLRDC) system, known for its high accuracy and efficiency. Utilising a stacking ensemble approach, and integrating DenseNet201, EfficientNetB4, EfficientNetB3 and EfficientNetV2S models, exceptional performance in retinal disease ...
Asghar Amir, Tariqullah Jan, Mohammad Haseeb Zafar, Shadan Khan Khattak   +3 more
wiley   +1 more source

Clinicopathological Features of KRAS-Mutated Colon Cancer: An Analytical Cross-Sectional Study. [PDF]

Gastroenterology Res
Cortes-Torres EJ, Hernandez-Gonzalez H, Morfin-Meza KD, Garcia A, Monteon-Aspeitia X, Hernandez-Ramirez VT, Capetillo-Texson CE, Gomez-Sierra JP, Villasenor-Rodriguez AR, Gonzalez-Munoz SE, Vazquez-Sanchez SJ, Gonzalez-Ojeda A, Fuentes-Orozco C.   +12 more
europepmc   +1 more source

Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi, Mohammad Saniee Abadeh, Niousha Bagheri Khoulenjani, Salwani Abdullah, MohammadMahdi Ariannejad, Mohd Zakree Ahmad Nazri, Fatemeh Alvankarian   +6 more
wiley   +1 more source

From Skin to Sinus: A Rare Case of Cerebral Venous Sinus Thrombosis Caused by Occipital Subcutaneous Abscess. [PDF]

Cureus
Ishida K, Tanaka T, Saku A, Nakajima T, Kawashima H, Matsuno A.   +5 more
europepmc   +1 more source

VSMI2 ${\text{VSMI}}^{\mathbf{2}}$‐PANet: Versatile Scale‐Malleable Image Integration and Patch Wise Attention Network With Transformer for Lung Tumour Segmentation Using Multi‐Modal Imaging Techniques

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Lung cancer (LC) is a major cancer which accounts for higher mortality rates worldwide. Doctors utilise many imaging modalities for identifying lung tumours and their severity in earlier stages. Nowadays, machine learning (ML) and deep learning (DL) methodologies are utilised for the robust detection and prediction of lung tumours.
Nayef Alqahtani, Arfat Ahmad Khan, Rakesh Kumar Mahendran, Muhammad Faheem   +3 more
wiley   +1 more source

Colonic endometriosis: from subtotal bowel obstruction to malignant transformation - a case series and literature review. [PDF]

World J Surg Oncol
Fejes R, Balajthy Z, Góg C, Vajda Á, Hegedűs F, Simonka Z, Ábrahám S.   +6 more
europepmc   +1 more source

Dosimetric and clinical outcomes study of occult uterine tandem imperfect implantation in HDR-brachytherapy for cervical cancer. [PDF]

Sci Rep
Zhao X, Wu H, Yi R, Chen D, Tang Y, Zhou Q, Zou D.   +6 more
europepmc   +1 more source

Response: Comments on "Adequacy of sigmoidoscopy as compared to colonoscopy for assessment of disease activity in patients of ulcerative colitis: a prospective study". [PDF]

Intest Res
Patel ST, Chandnani S, Rathi PM.
europepmc   +1 more source