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Showing 6091-6111 of 7,025 articles

SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

BACKGROUND AND OBJECTIVE: Lung cancer remains a leading cause of cancer-related mortality worldwide,...

Jan 2025 39773067

Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.

AIM: Patient-reported outcome measures (PROMs) are increasingly used in palliative care to evaluate ...

Jan 2025 39778050

Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.

Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and var...

Jan 2025 39788916

Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.

Cancer is a complex disease driven by mutations in the genes that play critical roles in cellular pr...

Jan 2025 39804102

Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...

Jan 2025 39834330

Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.

Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer...

Jan 2025 39835976

Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing ...

Jan 2025 39868675

Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...

Jan 2025 40346788

Brain tumor classification using MRI images and deep learning techniques.

Brain tumors pose a significant medical challenge, necessitating early detection and precise classif...

Jan 2025 40344143

Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging.

Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality glo...

Dec 2024 39760649

Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation

This study presents a robust and efficient client selection protocol designed to optimize the Fede...

Dec 2024 http://arxiv.org/abs/2412.20250v1

[Research progress on endoscopic image diagnosis of gastric tumors based on deep learning].

Gastric tumors are neoplastic lesions that occur in the stomach, posing a great threat to human heal...

Dec 2024 40000222

Text-Driven Tumor Synthesis

Tumor synthesis can generate examples that AI often misses or over-detects, improving AI performan...

Dec 2024 http://arxiv.org/abs/2412.18589v1

VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection

The early detection of glottic carcinoma is critical for improving patient outcomes, as it enables...

Dec 2024 http://arxiv.org/abs/2412.18124v1

Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition

Breast cancer detection based on pre-trained convolution neural network (CNN) has gained much inte...

Dec 2024 http://arxiv.org/abs/2412.17959v1

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba

Histopathology plays a critical role in medical diagnostics, with whole slide images (WSIs) offeri...

Dec 2024 http://arxiv.org/abs/2412.16711v1

Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography

Study Objectives: We investigate Mamba-based deep learning approaches for sleep staging on signals...

Dec 2024 http://arxiv.org/abs/2412.15947v2

Oncology/Hematology

Browse Categories

SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.

Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.

Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.

Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers.

Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.

Integrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.

Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

Brain tumor classification using MRI images and deep learning techniques.

Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging.

Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation

[Research progress on endoscopic image diagnosis of gastric tumors based on deep learning].

Text-Driven Tumor Synthesis

VisionLLM-based Multimodal Fusion Network for Glottic Carcinoma Early Detection

Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba

Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography

Survival analysis of clear cell renal cell carcinoma based on radiomics and deep learning features from CT images.

Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning

Harnessing the Power of AI for Enhanced Diagnosis and Treatment of Hepatocellular Carcinoma.

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation

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