Results 91 to 100 of about 1,774,216 (319)

Breast mass classification in ultrasound based on Kendall's shape manifold [PDF]

open access: yesarXiv, 2019
Morphological features play an important role in breast mass classification in sonography. While benign breast masses tend to have a well-defined ellipsoidal contour, shape of malignant breast masses is commonly ill-defined and highly variable. Various handcrafted morphological features have been developed over the years to assess this phenomenon and ...
arxiv  

Inhibition of acyl‐CoA synthetase long‐chain isozymes decreases multiple myeloma cell proliferation and causes mitochondrial dysfunction

open access: yesMolecular Oncology, EarlyView.
Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy   +12 more
wiley   +1 more source

Bases genómicas del cáncer de mama: avances hacia la medicina personalizada Genomic basis for breast cancer: advances in personalized medicine

open access: yesSalud Pública de México, 2009
El análisis genómico del cáncer de mama ha permitido el desarrollo de nuevas herramientas de predicción de riesgo y respuesta al tratamiento en esta enfermedad.
Alfredo Hidalgo-Miranda   +1 more
doaj  

Predicting invasion in mammographically detected microcalcifcation: a preliminary report

open access: yesWorld Journal of Surgical Oncology, 2004
Background With the increased use of mammography for breast cancer screening, the diagnosis of ductal carcinoma in situ (DCIS) too has increased. This study was carried out to identify clinical and radiological factors that may predict the presence of ...
Okugawa Homa   +3 more
doaj   +1 more source

Ten-year Survival Prediction for Breast Cancer Patients [PDF]

open access: yesarXiv, 2019
This report assesses different machine learning approaches to 10-year survival prediction of breast cancer patients.
arxiv  

Cystatin A promotes the antitumor activity of T helper type 1 cells and dendritic cells in murine models of pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Pancreatic ductal adenocarcinoma (PDAC) is a disease with very poor prognosis due to therapeutic limitations. We investigated the antitumor effects of cystatin A (CSTA) in PDAC murine models. We are first to confirm that CSTA enhances T helper type 1‐mediated antitumor effects through promotion of dendritic cells and M1 macrophage activity. CSTA can be
Alessandro Nasti   +8 more
wiley   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

open access: yesAging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen   +3 more
wiley   +1 more source

CANCER OF THE BREAST [PDF]

open access: yesJournal of the American Medical Association, 1909
n ...
openaire   +1 more source

Glycophenotype of breast and prostate cancer stem cells treated with thieno[2,3-b]pyridine anticancer compound

open access: yesDrug Design, Development and Therapy, 2017
Angela Mastelić,1 Vedrana Čikeš Čulić,1 Nikolina Režić Mužinić,1 Milena Vuica-Ross,2 David Barker,3 Euphemia Y Leung,4,5 Jóhannes Reynisson,3 Anita Markotić1 1Department of Medical Chemistry and Biochemistry, University of Split School of ...
Mastelić A   +7 more
doaj  

Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification [PDF]

open access: yesarXiv, 2009
We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ray, ultrasound and MRI) images can be accurately modeled by two-dimensional autoregressive-moving average (ARMA) random fields. We derive a two-stage Yule-Walker Least-Squares
arxiv  

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