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| 1 | Intraoperative laparoscopic complications for urological cancer procedures显示文摘AIM: To structure the rate of intraoperative complications that requires an intraoperative or perioperative resolution. METHODS: We perform a literature review of Medline database. The research was focused on intraoperative laparoscopic procedures inside the field of urological oncology. General rate of perioperative complications in laparoscopic urologic surgery is described to be around 12.4%. Most of the manuscripts published do not make differences between pure intraoperative, intraoperative with postoperative consequences and postoperative complications. RESULTS: We expose a narrative statement of complications, possible solutions and possible preventions for most frequent retroperitoneal and pelvic laparoscopic surgery. We expose the results with the following order: retroperitoneal laparoscopic surgery(radical nephrectomy, partial nephrectomy, nephroureterectomy and adrenalectomy) and pelvic laparoscopic surgery(radical prostatectomy and radical cystectomy).CONCLUSION: Intraoperative complications vary from different series. More scheduled reports should be done in order to better understand the real rates of complications. | Sergio Fernández-Pello Montes Ivan Gonzalez Rodríguez Rodrigo Gil Ugarteburu Luis Rodríguez Villamil Begoa Diaz Mendez Patricio Suarez Gil Javier Mosquera Madera | 2015 | World Journal of Clinical Cases2015，3，5： | 4 |
| 2 | A Feature Selection Strategy to Optimize Retinal Vasculature Segmentation显示文摘Diabetic retinopathy (DR) is a complication of diabetesmellitus thatappears in the retina. Clinitians use retina images to detect DR pathologicalsigns related to the occlusion of tiny blood vessels. Such occlusion brings adegenerative cycle between the breaking off and the new generation of thinnerand weaker blood vessels. This research aims to develop a suitable retinalvasculature segmentation method for improving retinal screening proceduresby means of computer-aided diagnosis systems. The blood vessel segmentationmethodology relies on an effective feature selection based on SequentialForward Selection, using the error rate of a decision tree classifier in theevaluation function. Subsequently, the classification process is performed bythree alternative approaches: artificial neural networks, decision trees andsupport vector machines. The proposed methodology is validated on threepublicly accessible datasets and a private one provided by Hospital Sant Joanof Reus. In all cases we obtain an average accuracy above 96% with a sensitivityof 72% in the blood vessel segmentation process. Compared with the state-ofthe-art, our approach achieves the same performance as other methods thatneed more computational power.Our method significantly reduces the numberof features used in the segmentation process from 20 to 5 dimensions. Theimplementation of the three classifiers confirmed that the five selected featureshave a good effectiveness, independently of the classification algorithm. | Jose Escorcia-Gutierrez Jordina Torrents-Barrena Margarita Gamarra Natasha Madera Pedro Romero-Aroca Aida Valls Domenec Puig | 2022 | Computers, Materials & Continua2022，，2： | 2 |
| 3 | Automated Deep Learning Empowered Breast Cancer Diagnosis UsingBiomedical Mammogram Images显示文摘Biomedical image processing is a hot research topic which helps to majorly assist the disease diagnostic process.At the same time,breast cancer becomes the deadliest disease among women and can be detected by the use of different imaging techniques.Digital mammograms can be used for the earlier identification and diagnostic of breast cancer to minimize the death rate.But the proper identification of breast cancer has mainly relied on the mammography findings and results to increased false positives.For resolving the issues of false positives of breast cancer diagnosis,this paper presents an automated deep learning based breast cancer diagnosis(ADL-BCD)model using digital mammograms.The goal of the ADL-BCD technique is to properly detect the existence of breast lesions using digital mammograms.The proposed model involves Gaussian filter based pre-processing and Tsallis entropy based image segmentation.In addition,Deep Convolutional Neural Network based Residual Network(ResNet 34)is applied for feature extraction purposes.Specifically,a hyper parameter tuning process using chimp optimization algorithm(COA)is applied to tune the parameters involved in ResNet 34 model.The wavelet neural network(WNN)is used for the classification of digital mammograms for the detection of breast cancer.The ADL-BCD method is evaluated using a benchmark dataset and the results are analyzed under several performance measures.The simulation outcome indicated that the ADL-BCD model outperforms the state of art methods in terms of different measures. | JoséEscorcia-Gutierrez Romany F.Mansour Kelvin Belen Javier Jiménez-Cabas Meglys Pérez Natasha Madera Kevin Velasquez | 2022 | Computers, Materials & Continua2022，，6： | 2 |
| 4 | A parallel island model for estimation of distribution algorithms显示文摘 | Madera J Alba E Ochoa A | 2006 | Studies in Fuzzi- ness & Soft Computing2006，，： | 1 |
| 5 | Proinflammatory cytokine signaling required for the generation of natural killer cell memory 显示文摘 | Sun JC Madera S Bezman NA | 2012 | JExpMed2012，209，5： | 1 |
| 6 | Rh2 Synergistically Enhances Paclitaxel or Mitoxantrone in Prostate Cancer Models显示文摘 | Eberding A Madera C Fazli L Jia W Goldenberg L | 2006 | J Urol2006，175，： | 1 |
| 7 | Rh2 synergistically enhances pacIitaxd or mitoxantrone in prostate cancer models显示文摘 | XIE X EBERDING A MADERA C | 2006 | The Journal of Urology2006，175，5： | 1 |
| 8 | Rh2 Synergistically Enhances Paclitaxel or Mitoxantrone in Prostate Cancer Models 显示文摘 | Xie X Eberding A Madera C Fazli L Jia W Golden- berg L | 2006 | J Urol2006，175，5： | 1 |
| 9 | Glycoprotein enrichment through lectin affinity techniques 显示文摘 | Mechref Y Madera M Novotny MV | 2008 | Methods Mol Biol2008，424，3： | 1 |
| 10 | Rh2 synergistically enhances paclitaxel or mitoxantrone in prostate cancer models 显示文摘 | XIE X EBERDING A MADERA C | 2006 | J Urol2006，175，5： | 1 |
| 11 | Extrusion and mechanical characterization of PVC-leather fiber composites显示文摘 | Tomas J Madera Santana Alberto Campos Torres | 1998 | Polymer Composites1998，19，4： | 1 |
| 12 | Nfil3-independent lineage maintenance and antiviral response of natural killer cells 显示文摘 | Firth MA Madera S Beaulieu AM | 2013 | Journal of Experimental Medicine2013，210，13： | 1 |
| 13 | Synthetic cationic peptide IDR-1002 provides protection against bacterial infections through chemokine induction and enhanced leukocyte recruitment显示文摘 | Nijnik A Madera L Ma S | 2010 | J Immunol2010，184，5： | 1 |
| 14 | Method for analyzing stochastic heat transfer in a fluid flow显示文摘 | A.G. Madera A.N. Sotnikov | 1996 | Applied Mathematical Modelling1996，，8： | 1 |
| 15 | Biocontrol of Staphylococcus aureus in curd manufacturing processes using bacteriophages 显示文摘 | CARCIA P MADERA C MARTiNEZ B | 2007 | Int Dairy J2007，17，10： | 1 |
| 16 | The effects of leader negative e- motions on evaluations of leadership in a crisis situation: The role of anger and sadness 显示文摘 | Madera J M Smith D B | 2009 | The Leadership Quarterly2009，20，： | 1 |
| 17 | Control of activated sludge filamentous bulking-Ⅲ Effect of sludge loading显示文摘 | Chuduoba J Blaha J Madera V | 1974 | Water Research1974，8，3： | 1 |
| 18 | Control of activated sludge filamentous bulking- I Effect of the hydraulic regime or degree of mixing in an aeration tank 显示文摘 | CHUDOBA J OTTOVA V MADERA V | 1973 | Wat Res1973，7，9： | 1 |
| 19 | Aortic Intramural He-matoma and Its Complications显示文摘 | Alomari B Hamirani YS Madera G | | 0，，： | 1 |
| 20 | Rh2 synergistically enhances paclitaxel or mitoxantrone in prostate cancer models显示文摘 | Xie X Eberding A Madera C | 2006 | J Urol2006，175，： | 1 |
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