Boundary-Aware Network for Kidney Parsing [PDF]
arXiv, 2022 Kidney structures segmentation is a crucial yet challenging task in the computer-aided diagnosis of surgery-based renal cancer. Although numerous deep learning models have achieved remarkable success in many medical image segmentation tasks, accurate segmentation of kidney structures on computed tomography angiography (CTA) images remains challenging ...
arxiv
Endoglin Is Essential for the Maintenance of Self-Renewal and Chemoresistance in Renal Cancer Stem Cells. [PDF]
, 2017 Renal cell carcinoma (RCC) is a deadly malignancy due to its tendency to metastasize and resistance to chemotherapy. Stem-like tumor cells often confer these aggressive behaviors.
Dai, Jin +10 more
core +3 more sources
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment [PDF]
arXiv, 2022 The kidney cancer is one of the most common cancer types. The treatment frequently include surgical intervention. However, surgery is in this case particularly challenging due to regional anatomical relations. Organ delineation can significantly improve surgical planning and execution.
arxiv
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge [PDF]
arXiv, 2023 In 2023, it is estimated that 81,800 kidney cancer cases will be newly diagnosed, and 14,890 people will die from this cancer in the United States. Preoperative dynamic contrast-enhanced abdominal computed tomography (CT) is often used for detecting lesions.
arxiv
Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma [PDF]
, 2010 BACKGROUND. MicroRNA regulate mRNA levels in a tissue specific way, either by inducing degradation of the transcript or by inhibiting translation or transcription.
Alexe, Gabriela +13 more
core +4 more sources
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation [PDF]
arXiv, 2022 Renal cancer is one of the most prevalent cancers worldwide. Clinical signs of kidney cancer include hematuria and low back discomfort, which are quite distressing to the patient. Some surgery-based renal cancer treatments like laparoscopic partial nephrectomy relys on the 3D kidney parsing on computed tomography angiography (CTA) images.
arxiv
Case Reports in Transplantation, 2016 Carbapenem-resistant Klebsiella pneumoniae (CR-KP) infections in solid organ transplant recipients are associated with high morbidity and mortality. We report a case of a fatal donor-derived CR-KP infection in a combined kidney-pancreas transplant. Given
Giovanni Varotti +5 more
doaj +1 more source
Hepatology Communications, 2022 Hepatic graft‐versus‐host disease (HGVHD) contributes significantly to morbidity and mortality after hematopoietic stem cell transplantation (HSCT). Clinical findings and liver biomarkers are neither sensitive nor specific.
Alexander H. Yang +17 more
doaj +1 more source
Current epigenetic aspects the clinical kidney researcher should embrace [PDF]
, 2017 Chronic kidney disease (CKD), affecting 10-12% of the world's adult population, is associated with a considerably elevated risk of serious comorbidities, in particular, premature vascular disease and death.
Ekström, Tomas J. +5 more
core +1 more source
Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling [PDF]
, 2014 <b>Background:</b> Proteomics-based approaches for biomarker discovery are promising strategies used in cancer research. We present state-of-art label-free quantitative proteomics method to assess proteome of renal cell carcinoma (RCC ...
Atrih, A. +8 more
core +3 more sources