AIMC Topic: Neoplasm Metastasis

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Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images.

Computational and mathematical methods in medicine Oct 26, 2021
Diagnosis of different breast cancer stages using histopathology whole slide images (WSI) is the gold standard in determining the grade of tissue metastasis. Computer-aided diagnosis (CAD) assists medical experts as a second opinion tool in early det...
Computational Biology Female Diagnostic Imaging Breast Neoplasms Humans Neoplasm Metastasis Diagnosis, Computer-Assisted Histological Techniques Neural Networks, Computer Deep Learning Algorithms
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A new prognostic score for predicting survival in patients treated with robotic stereotactic radiotherapy for brain metastases.

Scientific reports Oct 13, 2021
The study aimed to analyze potential prognostic factors in patients treated with robotic radiosurgery for brain metastases irrespective of primary tumor location and create a simple prognostic score that can be used without a full diagnostic workup. ...
Aged Robotics Aged, 80 and over Disease-Free Survival Brain Neoplasms Humans Adult Neoplasm Metastasis Survival Rate Retrospective Studies Male Radiosurgery Female Middle Aged Follow-Up Studies
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Few-Shot Breast Cancer Metastases Classification via Unsupervised Cell Ranking.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Tumor metastases detection is of great importance for the treatment of breast cancer patients. Various CNN (convolutional neural network) based methods get excellent performance in object detection/segmentation. However, the detection of metastases i...
Histocytochemistry Algorithms Female Breast Neoplasms Lymph Nodes Unsupervised Machine Learning Cell Count Image Interpretation, Computer-Assisted Neoplasm Metastasis Humans Neural Networks, Computer
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Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period.

Radiology Aug 3, 2021
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatment planning but have historically been documented by means of autopsy series. Purpose To show the feasibility of using natural language processing (NL...
Humans Databases, Factual Reproducibility of Results Male Middle Aged Neoplasms Retrospective Studies Tomography, X-Ray Computed Electronic Health Records Female Feasibility Studies Neoplasm Metastasis Data Management Longitudinal Studies Natural Language Processing
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Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

PLoS computational biology Jul 23, 2021
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that ...
Cell Shape Adaptation, Physiological Neoplasm Metastasis Extracellular Matrix Biophysical Phenomena Cell Adhesion Triple Negative Breast Neoplasms Cell Proliferation Antigens, CD Cell Count Epithelial-Mesenchymal Transition Cadherins Models, Biological Vimentin Tumor Microenvironment Biomarkers, Tumor Cell Line, Tumor Computational Biology Humans Machine Learning Female
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Role of Regulatory Non-Coding RNAs in Aggressive Thyroid Cancer: Prospective Applications of Neural Network Analysis.

Molecules (Basel, Switzerland) May 19, 2021
Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, whereas anaplastic thyroid carcinoma (ATC) is a lethal form of cancer. Different genetic and epigenetic alterations have been identified in aggressive f...
Neural Networks, Computer Thyroid Neoplasms Neoplasm Metastasis RNA, Untranslated Humans
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EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer.

BMC medical genomics May 7, 2021
BACKGROUND: Today, there are a lot of markers on the prognosis and diagnosis of complex diseases such as primary breast cancer. However, our understanding of the drivers that influence cancer aggression is limited.
Humans Machine Learning Algorithms Prognosis Neoplasm Metastasis Female Breast Neoplasms Biomarkers, Tumor Mutation
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AI-based pathology predicts origins for cancers of unknown primary.

Nature May 5, 2021
Cancer of unknown primary (CUP) origin is an enigmatic group of diagnoses in which the primary anatomical site of tumour origin cannot be determined. This poses a considerable challenge, as modern therapeutics are predominantly specific to the primar...
Female Reproducibility of Results Sensitivity and Specificity Male Humans Cohort Studies Workflow Artificial Intelligence Neoplasm Metastasis Computer Simulation Neoplasms, Unknown Primary
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Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer.

Genome medicine Mar 11, 2021
BACKGROUND: Contemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as ...
Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Metastasis Breast Neoplasms Protein Interaction Maps Humans Gene Regulatory Networks Neural Networks, Computer Algorithms Female
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DeepDose: a robust deep learning-based dose engine for abdominal tumours in a 1.5 T MRI radiotherapy system.

Physics in medicine and biology Mar 9, 2021
We present a robust deep learning-based framework for dose calculations of abdominal tumours in a 1.5 T MRI radiotherapy system. For a set of patient plans, a convolutional neural network is trained on the dose of individual multi-leaf-collimator seg...
Monte Carlo Method Abdominal Neoplasms Particle Accelerators Neoplasm Metastasis Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Magnetic Resonance Imaging Neural Networks, Computer Prostatic Neoplasms Reproducibility of Results Rectal Neoplasms Male Radiotherapy Planning, Computer-Assisted Deep Learning
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