Howelllambertsen1647

In this study, a transfer learning method was utilized to recognize and classify benign and malignant breast tumors, using two-dimensional breast ultrasound (US) images, to decrease the effort expended by physicians and improve the quality of clinical diagnosis. The pretrained deep residual network model was utilized for image feature extraction from the convolutional layer of the trained network; whereas, the linear support vector machine (SVM), with a sequential minimal optimization solver, was used to classify the extracted feature. We used an image dataset with 2099 unlabeled two-dimensional breast US images, collected from 543 patients (benign 302, malignant 241). The classification performance yielded a sensitivity of 94.34 % and a specificity of 93.22 % for malignant images (Area under curve = 0.938). The positive and negative predictive values were 92.6 and 94.8, respectively. A comparison between the diagnosis made by the physician and the automated classification by a trained classifier, showed that the latter had significantly better outcomes. This indicates the potential applicability of the proposed approach that incorporates both the pretrained deep learning network and a well-trained classifier, to improve the quality and efficacy of clinical diagnosis.

Pathologists analyze biopsy material at both the cellular and structural level to determine diagnosis and cancer stage. Mitotic figures are surrogate biomarkers of cellular proliferation that can provide prognostic information; thus, their precise detection is an important factor for clinical care. Convolutional Neural Networks (CNNs) have shown remarkable performance on several recognition tasks. Utilizing CNNs for mitosis classification may aid pathologists to improve the detection accuracy.

We studied two state-of-the-art CNN-based models, ESPNet and DenseNet, for mitosis classification on six whole slide images of skin biopsies and compared their quantitative performance in terms of sensitivity, specificity, and F-score. We used raw RGB images of mitosis and non-mitosis samples with their corresponding labels as training input. In order to compare with other work, we studied the performance of these classifiers and two other architectures, ResNet and ShuffleNet, on the publicly available MITOS breast en thoroughly tested and is likely to be useful for finding mitoses in any whole slide biopsy images.2-(3-Benzoylphenyl)propanoic acid (ketoprofen), one of the nonsteroidal anti-inflammatory drugs, causes photocontact dermatitis by ultraviolet (UV) light as a side effect. In this study, we examined radical reactions induced by ketoprofen in the lipid membranes under UV irradiation using egg yolk phosphatidylcholine (egg-PC) liposomal membranes containing 5- or 16-doxyl stearic acid (5- or 16-DSA), which carry nitroxyl radical at the 5- or 16-position of the fatty acid chain, respectively. When the suspension of liposomal membrane was mixed with ketoprofen and irradiated with UV, electron spin resonance signal of 5- and 16-DSA in the membrane decreased. The decay consisted of fast decay and subsequent slow decay. The overall decay for 5-DSA was faster than that for 16-DSA. The rate of slower decay of 16-DSA increased with ketoprofen concentration. The bulk lipid in the membrane affected the rate of slower decay of 5-DSA; the rate increased with the amount of egg-PC and decreased in the rigid membrane composed of dipalmitoylphosphatidylcholine. When spin trapping studies with α-(4-pyridyl 1-oxide)-N-tert-butylnitrone (POBN) and 5,5-dimetyl-1-pyrroline-N-oxide (DMPO) were performed in ketoprofen solution, C-centered radical adducts of POBN and superoxide anion radical adducts of DMPO were detected after UV irradiation. POBN suppressed the signal decay of 5-DSA in the liposomal membrane, whereas superoxide dismutase accelerated it. These results support that ketoprofen penetrates the lipid membrane and induces a radical reaction near the polar region in the membrane, and that ketoprofen-related C-centered radical is involved in the radical reaction.Poland, due to its geographical location, has been a place where the interests of neighbouring countries have converged. As a result, Polish territory has been the site of hostilities, totalitarian terror, and acts of genocide. Following the end of World War II, Poland became part of the so-called Eastern Bloc. read more A movement known as the anti-communist underground arose within Polish territory with the aim of conducting partisan warfare and political and propaganda activities against the occupiers. Partisans were victims of campaigns of liquidation; they lost their lives during interrogations, died in prisons, were sentenced to death by Polish courts, and were subsequently buried at unknown sites throughout the country. In connection with war and post-war events within Polish territory, the remains of victims of both World War II and post-war political repressions are being found to this day. In addition, remains derived from historical populations are being discovered as well as present-day remains belonging to missing persons or victims of criminal offences. A portion of the remains resulting from military operations and the post-war history of Poland are discovered by chance, but discovery of the burial sites of victims of communist crimes is often preceded by many years of research. International agreements and Polish legal regulations make it possible to search for victims of armed conflicts of various nationalities within the country. The process of identifying victims of armed conflicts, political terror and genocide can be carried out thanks to routine procedures for handling unidentified remains. Given the diversity (various historical periods, various nationalities) of the discovered remains, the elaborated procedures enable their dignified burial.Contact shots to the head often provoke a transfer of biological traces into firearm barrels, which are not visible at endoscopic inspection. STR-PCR can amplify these latent traces and assign them to the victim. Via RNA-DNA-co-extraction also miRNA can be detected, which allow a conclusion to be drawn about the body fluid or tissue. Molecular genetic analysis of experimental stains in firearm barrels requires the guarantee that the barrel is initially free of any nucleic acid. Twelve shots were fired to so-called "reference cubes" (10 % gelatine, 12 cm edge length, embedded paint-blood-pad) using three current handguns from 20 and 30 cm distance, four at close range (1-2.5 cm) and six contact shots. After endoscopic examination and swabbing of the barrels, a previously described mechanical and chemical cleaning using DNAExitusPlus™ was performed. The inner surface of the barrel was thoroughly wiped off using moistened forensic swabs, which were submitted to RNA-DNA-co-extraction. The combined thorough mechanical cleaning with Ballistol® and the application of DNAExitusPlus™ eliminated any profilable DNA in all samples.