Cargando…
Computer Aided Breast Cancer Detection Using Ensembling of Texture and Statistical Image Features
Breast cancer, like most forms of cancer, is a fatal disease that claims more than half a million lives every year. In 2020, breast cancer overtook lung cancer as the most commonly diagnosed form of cancer. Though extremely deadly, the survival rate and longevity increase substantially with early de...
Autores principales: | Roy, Soumya Deep, Das, Soham, Kar, Devroop, Schwenker, Friedhelm, Sarkar, Ram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197148/ https://www.ncbi.nlm.nih.gov/pubmed/34071029 http://dx.doi.org/10.3390/s21113628 |
Ejemplares similares
-
Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study
por: Mukherjee, Debadyuti, et al.
Publicado: (2021) -
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays [Image: see text]
por: Dey, Subhrajit, et al.
Publicado: (2022) -
Computer Based Diagnosis of Some Chronic Diseases: A Medical Journey of the Last Two Decades
por: Malakar, Samir, et al.
Publicado: (2022) -
DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
por: Pramanik, Payel, et al.
Publicado: (2023) -
Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images
por: Das, Soham, et al.
Publicado: (2021)