Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Overcoming the preferred-orientation problem in cryo-EM with self-supervised deep learning.

While advances in single-particle cryo-EM have enabled the structural determination of macromolecula...

Nov 2024 39558095
Multi-classification of breast cancer pathology images based on a two-stage hybrid network.

BACKGROUND AND OBJECTIVE: In current clinical medicine, pathological image diagnosis is the gold sta...

Nov 2024 39551897
Generating and evaluating synthetic data in digital pathology through diffusion models.

Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data...

Nov 2024 39557989
The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results.

In recent years, the incidence of nodular thyroid diseases has been increasing annually. Ultrasonogr...

Nov 2024 39558260
In Vivo Time-Resolved Fluorescence Detection of Liver Cancer Supported by Machine Learning.

OBJECTIVES: One of the widely used optical biopsy methods for monitoring cellular and tissue metabol...

Nov 2024 39551967
Intraoperative label-free tissue diagnostics using a stimulated Raman histology imaging system with artificial intelligence: An initial experience.

BACKGROUND: Accurate intraoperative tissue diagnostics could impact on decision making regarding the...

Nov 2024 39561580
Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images.

Breast cancer (BC) is a type of cancer which progresses and spreads from breast tissues and graduall...

Nov 2024 39551870
Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study.

The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting ...

Nov 2024 39548246
Clinically Significant Prostate Cancer Prediction Using Multimodal Deep Learning with Prostate-Specific Antigen Restriction.

Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa w...

Nov 2024 39590160
In vivo evaluation of complex polyps with endoscopic optical coherence tomography and deep learning during routine colonoscopy: a feasibility study.

Standard-of-care (SoC) imaging for assessing colorectal polyps during colonoscopy, based on white-li...

Nov 2024 39537775
SpaInGNN: Enhanced clustering and integration of spatial transcriptomics based on refined graph neural networks.

Recent developments in spatial transcriptomics (ST) technology have markedly enhanced the proposed c...

Nov 2024 39542070
Lymph Node Metastasis Prediction From In Situ Lung Squamous Cell Carcinoma Histopathology Images Using Deep Learning.

Lung squamous cell carcinoma (LUSC), a subtype of non-small cell lung cancer, represents a significa...

Nov 2024 39542104
Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model.

Cancer is a life-threatening disease resulting from a genetic disorder and a range of metabolic anom...

Nov 2024 39528485
A novel benign and malignant classification model for lung nodules based on multi-scale interleaved fusion integrated network.

One of the precursors of lung cancer is the presence of lung nodules, and accurate identification of...

Nov 2024 39528563
Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches.

Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-relate...

Nov 2024 39528802
IoT based healthcare system using fractional dung beetle optimization enabled deep learning for breast cancer classification.

Breast cancer classification plays a crucial role in healthcare, especially in the diagnosis and mon...

Nov 2024 39586227
An open codebase for enhancing transparency in deep learning-based breast cancer diagnosis utilizing CBIS-DDSM data.

Accessible mammography datasets and innovative machine learning techniques are at the forefront of c...

Nov 2024 39516557
Fusing global context with multiscale context for enhanced breast cancer classification.

Breast cancer is the second most common type of cancer among women. Prompt detection of breast cance...

Nov 2024 39521803
Machine Learning-enhanced Signature of Metastasis-related T Cell Marker Genes for Predicting Overall Survival in Malignant Melanoma.

In this study, we aimed to investigate disparities in the tumor immune microenvironment (TME) betwee...

Nov 2024 39506915
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