Metric Learning in Histopathological Image Classification: Opening the Black Box.

The application of machine learning techniques to histopathology images enables advances in the field, providing valuable tools that can speed up and facilitate the diagnosis process. The classification of these images is a relevant aid for physicians who have to process a large number of images in long and repetitive tasks. This work proposes the adoption of metric learning that, beyond the task of classifying images, can provide additional information able to support the decision of the classification system.

Muscle Histopathological Abnormalities in a Patient With a CCT5 Mutation Predicted to Affect the Apical Domain of the Chaperonin Subunit.

Recognition of diseases associated with mutations of the chaperone system genes, e.g., chaperonopathies, is on the rise.

CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.

Background: Nucleosomes wrap the DNA into the nucleus of the Eukaryote cell and regulate its transcription phase. Several studies indicate that nucleosomes are determined by the combined effects of several factors, including DNA sequence organization. Interestingly, the identification of nucleosomes on a genomic scale has been successfully performed by computational methods using DNA sequence as input data.

Evaluation of a new method for the measurement of corneal thickness in eye bank posterior corneal lenticules using Anterior Segment Optical Coherence Tomography.

Background/aims: To preliminarily evaluate the repeatability of central corneal thickness (CCT) measurements performed with Anterior Segment Optical Coherence Tomography (AS-OCT) on eye bank posterior corneal lenticules.

Methods: Six donor lenticules were created with a 350 μm head microkeratome (Moria, Antony, France). All donor tissues were stored at 4°C in Eusol-C solution (Alchimia S.

Evaluation of molecular markers in corneal regeneration by means of autologous cultures of limbal cells and keratoplasty.

Purpose: To determine the epithelial phenotype in patients with a limbal stem cell deficiency (LSCD) after ocular surface reconstruction with autologous cultured stem cells. To correlate the epithelial phenotype with the clinical outcome.

Methods: Six eyes affected by LSCD, verified and graded by impression cytology, were treated with an autologous fibrin-cultured limbal stem cell graft.

Pre-cut donor tissue for Descemet stripping automated keratoplasty: anterior hinged lamella on versus off.

Aims: To compare two different techniques for preparation of pre-cut lamellar corneal tissue for Descemet stripping automated keratoplasty.

Background/methods: Eight donor lenticules were created with a full pass of the microkeratome blade, which resulted in a posterior lamella and a free cap (anterior lamella off group (AL-off)). Contralateral donor lenticules were created with an incomplete pass of the microkeratome blade, which resulted in a posterior lamella and a hinged anterior cap (anterior lamella on group (AL-on)).