Pathology

[Clinical study of artificial intelligence-guided image fusion assisted transperineal prostate biopsy].

OBJECTIVE: To compare the diagnostic efficacy of AI-guided mpMRI-TRUS fusion assisted transperineal ...

Active Surveillance for Atypical Ductal Hyperplasia and Ductal Carcinoma In Situ.

Atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are relatively common breast l...

Image-guided prostate biopsy robots: A review.

At present, the incidence of prostate cancer (PCa) in men is increasing year by year. So, the early ...

Improving flat fluorescence microscopy in scattering tissue through deep learning strategies.

Intravital microscopy in small animals growingly contributes to the visualization of short- and long...

Machine Learning for Analysis of Microscopy Images: A Practical Guide and Latest Trends.

The explosive growth of Machine Learning provided scientists with insights into the data in the ways...

Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis.

INTRODUCTION: Differentiation of histologically similar structures in the liver, including anatomica...

DEPAS: De-novo Pathology Semantic Masks using a Generative Model.

The integration of artificial intelligence (AI) into digital pathology has the potential to automate...

NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural Networks.

The manipulation and stimulation of cell growth is invaluable for neuroscience research such as brai...

The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks.

In brain imaging research, it is becoming standard practice to remove the face from the individual's...

Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study.

Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critica...

Artificial Intelligence Assisted Multi-modal Photoacoustic-Ultrasound Imaging for Studying Renal Tissue Function and Hemodynamics.

Combined functional-anatomic imaging modalities, which integrate the benefits of visualizing gross a...

Robust 3D breast reconstruction based on monocular images and artificial intelligence for robotic guided oncological interventions.

Breast cancer is a global public health concern. For women with suspicious breast lesions, the curre...

Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method.

Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with t...

Design and Evaluation of a Puncture Control Method for the Deflection of Ultrafine Needles due to Interfacial Passage-Proposal of Puncture Control Strategy for Increasing.

With the demand for sophisticated techniques to easily prevent the deflection of needles, robotic CT...

Deep Learning based Skin-layer Segmentation for Characterizing Cutaneous Wounds from Optical Coherence Tomography Images.

Optical coherence tomography (OCT) is a medical imaging modality that allows us to probe deeper sub-...

Increasing Trust in AI Using Explainable Artificial Intelligence for Histopathology - An Overview.

Digital Pathology is an area that could benefit a lot from the automatic classification of scanned m...

Deep-learning-based 3D blood flow reconstruction in transmissive laser speckle imaging.

Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood fl...

Artificial intelligence and cytopathology: Where are we heading?: In this first of a two-part series, a recent burst of research in artificial intelligence is showing how the algorithms can expand beyond gynecologic applications-and how they might shift responsibilities for the cytology workforce: In this first of a two-part series, a recent burst of research in artificial intelligence is showing how the algorithms can expand beyond gynecologic applications-and how they might shift responsibilities for the cytology workforce.

DeepITEH: a deep learning framework for identifying tissue-specific eRNAs from the human genome.

MOTIVATION: Enhancers are vital cis-regulatory elements that regulate gene expression. Enhancer RNAs...

Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.

Background Handcrafted radiomics and deep learning (DL) models individually achieve good performance...

Robot-assisted laparoscopic enucleation in the treatment of leiomyosarcoma of urinary bladder: A case report.

Leiomyosarcoma of urinary bladder (LMS-UB) is a highly malignant mesenchymal tumor, accounting for l...