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Showing 8002-8022 of 10,331 articles

[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Objective To investigate the effects of Astragalus polysaccharide (APS) combined with cisplatin (DDP...

Dec 2018 30626477

Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

PURPOSE: Nuclear pleomorphic patterns are essential for Fuhrman grading of clear cell renal cell car...

Dec 2018 30652593

[A Case of Pathologically Complete Response in Ruptured Hepatocellular Carcinoma Treated with Transcatheter Arterial Embolization].

We report a case of pathologicallycomplete response in ruptured hepatocellular carcinoma(HCC)treated...

Dec 2018 30692313

[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].

We treateda 70-year-oldfemale patient with locally advancedrectal cancer accompaniedby metastases to...

Dec 2018 30692398

[A Case of Pelvic Metastasis of Rectal Cancer That Developed Ten Years after Curative Resection].

We report a case of pelvic metastasis of rectal cancer that developed 10 years after curative resect...

Dec 2018 30692420

[Surgical Resection of Hepatic Portal Lymph Node Metastasis after Repeated Treatment for Hepatocellular Carcinoma Recurrence].

We encountered a case of hepatic portal lymph node metastasis after repeated treatment for hepatocel...

Dec 2018 30692425

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was ...

Dec 2018 30692493

Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging.

Spatial frequency domain imaging (SFDI) is emerging as an important new method in biomedical imaging...

Nov 2018 30439924

Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.

OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracran...

Nov 2018 30453459

Multidisciplinary team for the diagnosis and treatment of 2 cases of primary intestinal yolk sac tumor.

Extragonadal primary yolk sac tumor of the intestinal tract origin is exceedingly rare. Through a mu...

Nov 2018 30766756

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.

Pathogenesis-based diagnosis is a key step to prevent and control lumbar neural foraminal stenosis (...

Oct 2018 29450848

Estimating Normal Values of Rare T-Lymphocyte Populations in Peripheral Blood of Healthy Cuban Adults.

INTRODUCTION Flow cytometry allows immunophenotypic characterization of important lymphocyte subpopu...

Oct 2018 31242168

[Accuracy analysis of robotic assistant needle placement for lateral skull base biopsy].

To evaluate the accuracy and feasibility of a custom robot system guided by navigation for lateral ...

Aug 2018 30078263

Classification and regression trees for the evaluation of thyroid cytomorphological characteristics: A study based on liquid based cytology specimens from thyroid fine needle aspirations.

BACKGROUND: This study investigates the potential of classification and regression trees (CARTs) for...

Aug 2018 31012547

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches.

Estimation of cell nuclei in images stained for the c-fos protein using immunohistochemistry (IHC) i...

Jul 2018 30440523

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[Astragalus polysaccharide combined with cisplatin inhibits growth of recurrent tumor and down-regulats the expression of CD44, CD62P and osteopontin in tumor tissues in mice bearing Lewis lung cancer].

Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

[A Case of Pathologically Complete Response in Ruptured Hepatocellular Carcinoma Treated with Transcatheter Arterial Embolization].

[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].

[A Case of Pelvic Metastasis of Rectal Cancer That Developed Ten Years after Curative Resection].

[Surgical Resection of Hepatic Portal Lymph Node Metastasis after Repeated Treatment for Hepatocellular Carcinoma Recurrence].

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging.

Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.

Multidisciplinary team for the diagnosis and treatment of 2 cases of primary intestinal yolk sac tumor.

Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning.

Estimating Normal Values of Rare T-Lymphocyte Populations in Peripheral Blood of Healthy Cuban Adults.

[Accuracy analysis of robotic assistant needle placement for lateral skull base biopsy].

Classification and regression trees for the evaluation of thyroid cytomorphological characteristics: A study based on liquid based cytology specimens from thyroid fine needle aspirations.

Diagnosis of prostate cancer in a Chinese population by using machine learning methods.

Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections.

Colorization of H&E stained tissue using Deep Learning.

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.

Fully Convolutional DenseNets for Segmentation of Microvessels in Two-photon Microscopy.

Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.

Cell Counting and Segmentation of Immunohistochemical Images in the Spinal Cord: Comparing Deep Learning and Traditional Approaches.

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