AIMC Topic: Histological Techniques

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Deep Learning-Based Annotation Transfer between Molecular Imaging Modalities: An Automated Workflow for Multimodal Data Integration.

Analytical chemistry Feb 3, 2021
An ever-increasing array of imaging technologies are being used in the study of complex biological samples, each of which provides complementary, occasionally overlapping information at different length scales and spatial resolutions. It is important...
Deep Learning Mice Animals Molecular Imaging Histological Techniques Workflow Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization.

Medical image analysis Dec 9, 2020
High-quality whole slide scanners used for animal and human pathology scanning are expensive and can produce massive datasets, which limits the access to and adoption of this technique. As a potential solution to these challenges, we present a deep l...
Histological Techniques Neural Networks, Computer Humans Magnetic Resonance Imaging
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Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images.

IEEE transactions on medical imaging Nov 30, 2020
Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear. However, this rotational symmetry is not widely utilised as prior knowledge in modern Convolutional Neural Networks (CNNs), resulting in ...
Histological Techniques Neural Networks, Computer Image Processing, Computer-Assisted
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DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples.

Computer methods and programs in biomedicine Oct 24, 2020
BACKGROUND AND OBJECTIVE: The use of several stains during histology sample preparation can be useful for fusing complementary information about different tissue structures. It reveals distinct tissue properties that combined may be useful for gradin...
Software Algorithms Humans Deep Learning Histological Techniques
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Deep neural network models for computational histopathology: A survey.

Medical image analysis Sep 25, 2020
Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to disease progression and patient survival outcomes. Recently, deep learning has become the mainstream methodological choice ...
Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Histological Techniques Humans
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NuClick: A deep learning framework for interactive segmentation of microscopic images.

Medical image analysis Jul 10, 2020
Object segmentation is an important step in the workflow of computational pathology. Deep learning based models generally require large amount of labeled data for precise and reliable prediction. However, collecting labeled data is expensive because ...
Deep Learning Image Processing, Computer-Assisted Histological Techniques Humans
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Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens.

Scientific reports Jun 18, 2020
Automatically detecting and grading cancerous regions on radical prostatectomy (RP) sections facilitates graphical and quantitative pathology reporting, potentially benefitting post-surgery prognosis, recurrence prediction, and treatment planning aft...
Histological Techniques Neoplasm Recurrence, Local Prostatectomy Male Diagnosis, Computer-Assisted Prostatic Neoplasms Humans Machine Learning Neoplasm Grading Algorithms
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Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.

Laboratory investigation; a journal of technical methods and pathology May 29, 2020
A pathological evaluation is one of the most important methods for the diagnosis of malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by experienced hematopathologists. Therefore, established procedures including ...
Image Interpretation, Computer-Assisted Observer Variation Histological Techniques Lymphoma, Follicular Lymphoma Pathologists Diagnosis, Computer-Assisted Algorithms Deep Learning Pseudolymphoma Lymphoma, Large B-Cell, Diffuse Humans Neural Networks, Computer
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Genetic algorithm search for the worst-case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks.

Magnetic resonance in medicine May 27, 2020
PURPOSE: This paper presents a method to search for the worst-case configuration leading to the highest RF exposure for a multiconfiguration implantable fixation system under MRI.
Prostheses and Implants Histological Techniques Neural Networks, Computer Algorithms Computer Simulation Magnetic Resonance Imaging
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[Deep Learning in Pathology: Applications and Challenges in Ophthalmic Pathology].

Klinische Monatsblatter fur Augenheilkunde Apr 14, 2020
INTRODUCTION: Deep learning has received increasing attention in recent years and is used in many different areas. Since image analysis is a strength of deep learning, it would be obvious to use it for histopathological questions too. Our goal is to ...
Histological Techniques Forecasting Humans Pathology Deep Learning
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