AIMC Topic: Microscopy
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TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
Medical image analysis
Jun 26, 2019
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer cell lines acquired by quantitative phase ima...
Data fusion strategies for performance improvement of a Process Analytical Technology platform consisting of four instruments: An electrospinning case study.
International journal of pharmaceutics
Jun 26, 2019
The aim of this work was to develop a PAT platform consisting of four complementary instruments for the characterization of electrospun amorphous solid dispersions with meloxicam. The investigated methods, namely NIR spectroscopy, Raman spectroscopy,...
Deep learning approach to peripheral leukocyte recognition.
PloS one
Jun 25, 2019
Microscopic examination of peripheral blood plays an important role in the field of diagnosis and control of major diseases. Peripheral leukocyte recognition by manual requires medical technicians to observe blood smears through light microscopy, usi...
BACH: Grand challenge on breast cancer histology images.
Medical image analysis
May 31, 2019
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwide. Microscopic analysis of a biopsy remains one of the most important methods to diagnose the type of breast cancer. This requires specialized analysi...
GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.
Medical image analysis
May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
A low-cost, automated parasite diagnostic system via a portable, robotic microscope and deep learning.
Journal of biophotonics
May 30, 2019
Manual hand counting of parasites in fecal samples requires costly components and substantial expertise, limiting its use in resource-constrained settings and encouraging overuse of prophylactic medication. To address this issue, a cost-effective, au...
Pathologist-level classification of histopathological melanoma images with deep neural networks.
European journal of cancer (Oxford, England : 1990)
May 23, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports 25-26% ...
Breast cancer outcome prediction with tumour tissue images and machine learning.
Breast cancer research and treatment
May 22, 2019
PURPOSE: Recent advances in machine learning have enabled better understanding of large and complex visual data. Here, we aim to investigate patient outcome prediction with a machine learning method using only an image of tumour sample as an input.
Humans
Machine Learning
Prognosis
Female
Aged
Middle Aged
Neoplasm Grading
Tumor Burden
Aged, 80 and over
Adult
Image Processing, Computer-Assisted
Neoplasm Metastasis
Breast Neoplasms
Follow-Up Studies
Workflow
Immunohistochemistry
Biomarkers, Tumor
Neoplasm Staging
Kaplan-Meier Estimate
Microscopy
Survival Analysis
The role of AI classifiers in skin cancer images.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 20, 2019
BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common practice in clinical scenarios. Different features representative of the lesion under evaluation can be retrieved from image analysis and processing. H...
Cancer taxonomy: pathology beyond pathology.
European journal of cancer (Oxford, England : 1990)
May 17, 2019
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in ...
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