A5041099873- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Digital Imaging for Blood Diseases
- Radiomics and Machine Learning in Medical Imaging
- Cancer Cells and Metastasis
- Ubiquitin and proteasome pathways
- Gastrointestinal Tumor Research and Treatment
- Genetic factors in colorectal cancer
- Helicobacter pylori-related gastroenterology studies
- Gastroesophageal reflux and treatments
- Metastasis and carcinoma case studies
- Cancer Genomics and Diagnostics
- Renal and related cancers
- Cancer-related Molecular Pathways
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Endoplasmic Reticulum Stress and Disease
- Gastrointestinal disorders and treatments
- Thyroid Cancer Diagnosis and Treatment
- Sphingolipid Metabolism and Signaling
- Pancreatic and Hepatic Oncology Research
- Molecular Biology Techniques and Applications
- Fiber-reinforced polymer composites
- Radiopharmaceutical Chemistry and Applications
- Graphene research and applications
- Renal cell carcinoma treatment
Kangbuk Samsung Hospital
2015-2024
Sungkyunkwan University
2015-2024
Korea Institute of Industrial Technology
2022-2024
National Cancer Institute
2019-2023
National Institutes of Health
2019-2023
Center for Cancer Research
2019-2023
Jeonbuk National University
2023
Gyeongsang National University
2021
Gachon University
2020
Sookmyung Women's University
2015-2016
Automated nuclei segmentation and classification are the keys to analyze understand cellular characteristics functionality, supporting computer-aided digital pathology in disease diagnosis. However, task still remains challenging due intrinsic variations size, intensity, morphology of different types nuclei. Herein, we propose a self-guided ordinal regression neural network for simultaneous nuclear that can exploit focus on highly uncertain areas during training. The proposed formulates as...
Endoscopic ultrasonography (EUS)-guided intervention has recently been tried in the treatment of cystic tumors pancreas. Factors that can influence response include cyst wall thickness and presence septation mural nodules. This study aimed to evaluate effectiveness EUS-guided ethanol lavage with paclitaxel injection (EUS-EP) septated pancreas.Ten patients oligolocular underwent EUS-EP was analyzed by measuring volume before more than 6 months after treatment.The 10 comprised 7 women 3 men,...
Metabolic reprogramming is an important cancer hallmark. However, the mechanisms driving metabolic phenotypes of cells are unclear. Here, we show that interferon-inducible (IFN-inducible) protein viperin drove alteration in cells. Viperin expression was observed various types and inversely correlated with survival rates patients gastric, lung, breast, renal, pancreatic, or brain cancer. By generating knockdown stably expressing cells, showed viperin, but not a mutant lacking its iron-sulfur...
Multi-class cancer classification has been extensively studied in digital and computational pathology due to its importance clinical decision-making. Numerous tools have proposed for various types of classification. Many them are built based on convolutional neural networks. Recently, Transformer-style networks shown be effective Herein, we present a hybrid design that leverages both transformer architecture obtain superior performance
Purpose:The molecular mechanisms that are responsible for the initiation and progression of breast cancers largely unknown.This study was to analyze cyclin B1, cdc2, p53 p16 tumor suppressor genes in human cancer. Materials Methods:To investigate role pathogenesis carcinomas, 98 cases were examined by immunohistochemical method.The correlations expression with various clinico-pathologic findings analysed.Results: In normal tissues, cdc2 weakly expressed, while not expressed.On other hand,...
Context In digital pathology, blurriness in whole slide images (WSI) is a common issue, with severe widely acknowledge as critical factor that can degrade the performance of artificial intelligence (AI) models. However, effects typical levels observed real-world pathological on robustness AI predictions remains unclear and unexplored. Objective To evaluate impact WSI blurring prediction setting. Design A retrospective study was conducted using 8,000 WSIs corresponding from four models...
Multi-scale approaches have been widely studied in pathology image analysis. These offer an ability to characterize tissues at various scales, which the may appear differently. Many of such methods focused on extracting multi-scale hand-crafted features and applied them tasks Even, several deep learning explicitly adopt approaches. However, most these simply merge together or coarse-to-fine/fine-to-coarse strategy, uses one a time sequential manner. Utilizing cooperative discriminative...
In this study, carbon fibers were heat-treated in a nitrogen and oxygen atmosphere according to temperature elucidate the mechanism of chemical state changes functional group on fiber surface by analyzing mechanical properties fibers. Carbon before after heat treatment analyzed using FE-SEM (Field Emission Scanning), UTM (Universal Tensile Testers), XPS (X-ray Photoelectron Spectroscopy), surface-free energy. atmosphere, which is an inert gas, tensile strength was equivalent that virgin up...
In pathology, cancer grading is crucial for patient management and treatment. Recent deep learning methods, based upon convolutional neural networks (CNNs), have shown great potential automated accurate diagnosis. However, these do not explicitly utilize tissue/cellular composition, thus difficult to incorporate the existing knowledge of pathology. this study, we propose a multi-cell type multi-level graph aggregation network (MMGA-Net) grading. Given pathology image, MMGA-Net constructs...
Reported herein are seven cases of a histologically distinct oncocytic papillary renal cell carcinoma (OPRCC) with an inverted nuclear pattern. To define its prognostic significance, the clinicopathological features OPRCC were compared to those types 1 and 2 PRCC. The median age patients was 67 years. Grossly, tumors well‐circumscribed small (1.2 cm ± 0.4 cm). Microscopically, composed well‐developed thin papillae, lined single layer cuboidal‐to‐columnar cells. tumor cells had round‐to‐oval...
Matrix metalloproteinases (MMPs) are matrix-degrading enzymes that play a pivotal role in aggressive behaviours, such as rapid tumour growth, invasion, and metastasis, of several types solid tumours. In particular, stromal MMP-2 plays important roles the progression malignant tumours, but most clinical studies have focused on tumoural -9 expression, not expression. One hundred seventy-seven cases diagnosed invasive ductal carcinoma breast between 2000 2005 were included this study....
Previous studies have demonstrated aberrant Brahma-related gene 1 (BRG1) expression in various tumor types. Increased BRG1 has recently been shown to correlate with aggressive oncogenic behavior many different types of human cancer. However, the role breast cancer development and progression is not fully understood.We evaluated 224 patients invasive ductal carcinoma (IDC) using tissue microarray samples immunohistochemistry. We also investigated whether status associated clinicopathological...
Cancer grading in pathology image analysis is a major task due to its importance patient care, treatment, and management. The recent developments artificial neural networks for computational have demonstrated great potential improve the accuracy quality of cancer diagnosis. These improvements are generally ascribable advance architecture networks, often leading increase computation resources. In this work, we propose an efficient convolutional network that designed conduct multi-class...
Colorectal cancer (CRC) screening using stool DNA was recently found to yield good detection rates. A multi-target test (Cologuard®, Exact Sciences), including methylated genes has been approved by the U.S. Food and Drug Administration. The aim of this study validate these aberrantly as stool-based markers for detecting CRC colorectal advanced adenoma (AA) in Korean population.A single-center conducted 36 patients with AA; 35 CRC; 40 endoscopically diagnosed healthy controls colonoscopy....
Sphingosine kinase 1 (SPHK1) is up-regulated in many different cancers and plays a crucial role tumor development progression. However, the prognostic value of SPHK1 colorectal cancer (CRC) remains unclear.The expression CRC cell lines 328 tissue samples was examined. It also investigated whether associated with clinicopathological characteristics outcomes patients CRC.HCT 116 HT-29 cells expressed significantly higher levels than did CCD 841 CoTr. On immunohistochemistry, normal colonic...
Abstract Nonalcoholic fatty liver disease (NAFLD) occurs due to the accumulation of fat in liver, leading fatal diseases such as nonalcoholic steatohepatitis (NASH) and cirrhosis. Elucidation molecular mechanisms underlying NAFLD is critical for its prevention therapy. Here, we observed that deubiquitinase USP15 expression was upregulated livers mice fed a high-fat diet (HFD) biopsies patients with or NASH. interacts lipid-accumulating proteins FABPs perilipins reduce ubiquitination increase...