Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition
Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer
worldwide, significantly enhances the prognosis of patients. This research presents a new …
worldwide, significantly enhances the prognosis of patients. This research presents a new …
CRCFusionAICADx: Integrative CNN-LSTM Approach for Accurate Colorectal Cancer Diagnosis in Colonoscopy Images
Colorectal cancer (CRC) is a critical health issue worldwide and is very treatable if
diagnosed on time. This paper proposes an innovative CADx system, namely …
diagnosed on time. This paper proposes an innovative CADx system, namely …
EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset
ASN Raju, K Venkatesh - Bioengineering, 2023 - mdpi.com
Colorectal cancer is associated with a high mortality rate and significant patient risk. Images
obtained during a colonoscopy are used to make a diagnosis, highlighting the importance of …
obtained during a colonoscopy are used to make a diagnosis, highlighting the importance of …
GIEnsemformerCADx: A hybrid ensemble learning approach for enhanced gastrointestinal cancer recognition
Colorectal cancer, a formidable health hazard, necessitates the development of innovative
and accurate diagnostic instruments in light of the rising mortality rates associated with …
and accurate diagnostic instruments in light of the rising mortality rates associated with …
Enhancing Colorectal Cancer Diagnosis With Feature Fusion and Convolutional Neural Networks: The TumorDiagX Framework
AS Narasimha Raju, M Rajababu, A Acharya… - Journal of …, 2024 - Wiley Online Library
TumorDiagX is a cutting‐edge framework that combines deep learning and computer vision
to accurately identify and classify cancers. Our collection of colonoscopies 1518 images is …
to accurately identify and classify cancers. Our collection of colonoscopies 1518 images is …
A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental …
X Chen, S Zhang, W Shi, D Wu, B Huang, H Tao… - Frontiers in …, 2023 - frontiersin.org
Objective To examine the correlation between specific indicators and the quality of hip joint
ultrasound images in infants and determine whether the individual infant suit ultrasound …
ultrasound images in infants and determine whether the individual infant suit ultrasound …
基于卷积神经网络的结直肠癌识别研究进展
兴亮潘， 珂童， 成东鄢， 金龙罗， 华杨… - Sheng Wu Yi Xue …, 2024 - pmc.ncbi.nlm.nih.gov
结直肠癌是一种常见的胃肠道恶性肿瘤， 严重威胁人类健康。 由于结直肠癌区边界模糊，
使得对结直肠癌的准确识别存在很大挑战。 随着卷积神经网络在图像处理领域应用的普及 …
使得对结直肠癌的准确识别存在很大挑战。 随着卷积神经网络在图像处理领域应用的普及 …
Enhanced Detection of Colon Diseases via a Fused Deep Learning Model with an Auxiliary Fusion Layer and Residual Blocks on Endoscopic Images
R Kumar, V Anand, S Gupta, A Almogren… - Current Medical …, 2025 - benthamdirect.com
Background: Colon diseases are major global health issues that often require early
detection and correct diagnosis to be effectively treated. Deep learning approaches and …
detection and correct diagnosis to be effectively treated. Deep learning approaches and …
Enhancing Colorectal Cancer Diagnosis With Feature Fusion and Convolutional Neural Networks
TumorDiagX is a cutting-edge framework that combines deep learning and computer vision
to accurately identify and classify cancers. Our collection of colonoscopies 1518 images is …
to accurately identify and classify cancers. Our collection of colonoscopies 1518 images is …
Enhancement of Diagnostic Accuracy of Colon Diseases Using Multi-Class Classification Technique and Endoscopic Images
Colon diseases are a significant health concern worldwide, with conditions such as polyps,
esophagitis, and ulcerative diseases posing substantial risks to patients. Early and accurate …
esophagitis, and ulcerative diseases posing substantial risks to patients. Early and accurate …